The high mortality rates of colon and rectal tumors have put forward an urgent need for rapid, sensitive, and accurate diagnosis. The polarization imaging technology, with the advantages of noninvasiveness, noncontact...The high mortality rates of colon and rectal tumors have put forward an urgent need for rapid, sensitive, and accurate diagnosis. The polarization imaging technology, with the advantages of noninvasiveness, noncontact, quantification, rapidity, and high sensitivity, is expected to be used for auxiliary diagnosis of colorectal cancer. Herein, the differences in colorectal tissues of four pathological types were studied using this powerful technology. Polarized light imaging combined with the Mueller matrix decomposition (MMPD) method was applied to extract structural features that may be related to colorectal tumors. It demonstrated that parameters δ and θ could reflect the structural differences of colorectal tumors. Preliminary simulated experiment results revealed that the parameter δ was related to the fiber density, and the parameter θ was related to the fiber angle. Then Tamura image texture analysis was used to quantitatively describe tissues of different pathological types, and the results showed that the coarseness, contrast, directionality, and roughness of the four groups were statistically different. Texture analysis based on the quantitative data of the four dimensions could be applied for the identification of benign and malignant colorectal tumors.展开更多
Cardiovascular damage caused by cancer treatment has become an important cause of death for tumor survivors.With the recognition of cardiovascular diseases and cancer therapy-related cardiovascular toxicity(CTR-CVT)in...Cardiovascular damage caused by cancer treatment has become an important cause of death for tumor survivors.With the recognition of cardiovascular diseases and cancer therapy-related cardiovascular toxicity(CTR-CVT)in tumor patients,noninvasive imaging technologies play pivotal roles in the risk stratification,early diagnosis,monitoring and follow-up for CTR-CVT.In recent years,the field of cardio-oncology has witnessed continual updates in diagnostic and therapeutic strategies,with several pertinent guidelines and expert consensus documents issued in China and abroad.However,there remains a conspicuous absence of systematic guidance documents on the application of imaging techniques in the clinical practice of cardio-oncology.Therefore,the Chinese Anti-Cancer Association Society of Integrative Cardio-oncology,the Ultrasound Branch of the Chinese Medical Association,and the Chinese Society of Echocardiography convened experts to formulate the"Chinese guideline for the clinical application of noninvasive imaging technology in accessing cancer therapy-related cardiovascular toxicity".Building upon the systematic evaluation of guidelines and the latest evidence-based medical research in the field of cardio-oncology domestically and abroad,and in conjunction with data derived from evidence-based medical research in China,this guideline proposes noninvasive imaging examination methods and monitoring strategies for CTR-CVT,aiming to further standardize and guide the clinical practice of multidisciplinary physicians specializing in cardio-oncology in China.展开更多
Traditional laparoscopic liver cancer resection faces challenges,such as difficultiesin tumor localization and accurate marking of liver segments,as well as theinability to provide real-time intraoperative navigation....Traditional laparoscopic liver cancer resection faces challenges,such as difficultiesin tumor localization and accurate marking of liver segments,as well as theinability to provide real-time intraoperative navigation.This approach falls shortof meeting the demands for precise and anatomical liver resection.The introductionof fluorescence imaging technology,particularly indocyanine green,hasdemonstrated significant advantages in visualizing bile ducts,tumor localization,segment staining,microscopic lesion display,margin examination,and lymphnode visualization.This technology addresses the inherent limitations oftraditional laparoscopy,which lacks direct tactile feedback,and is increasinglybecoming the standard in laparoscopic procedures.Guided by fluorescenceimaging technology,laparoscopic liver cancer resection is poised to become thepredominant technique for liver tumor removal,enhancing the accuracy,safetyand efficiency of the procedure.展开更多
Skin imaging technologies such as dermoscopy, high-frequency ultrasound, reflective confocal microscopy and optical coherence tomography are developing rapidly in clinical application. Skin imaging technology can impr...Skin imaging technologies such as dermoscopy, high-frequency ultrasound, reflective confocal microscopy and optical coherence tomography are developing rapidly in clinical application. Skin imaging technology can improve clinical diagnosis rate, and its non-invasiveness and repeatability make it occupy an irreplaceable position in clinical diagnosis. With the “booming development” of medical technology, skin imaging technology can improve clinical diagnosis rate. Researchers have made significant advances in assisting clinical diagnosis, prediction, and treatment of disease. This article reviews the application and progress of skin imaging in the diagnosis of psoriasis.展开更多
Acute pancreatitis(AP)is a potentially life-threatening inflammatory disease of the pancreas,with clinical management determined by the severity of the disease.Diagnosis,severity prediction,and prognosis assessment of...Acute pancreatitis(AP)is a potentially life-threatening inflammatory disease of the pancreas,with clinical management determined by the severity of the disease.Diagnosis,severity prediction,and prognosis assessment of AP typically involve the use of imaging technologies,such as computed tomography,magnetic resonance imaging,and ultrasound,and scoring systems,including Ranson,Acute Physiology and Chronic Health Evaluation II,and Bedside Index for Severity in AP scores.Computed tomography is considered the gold standard imaging modality for AP due to its high sensitivity and specificity,while magnetic resonance imaging and ultrasound can provide additional information on biliary obstruction and vascular complications.Scoring systems utilize clinical and laboratory parameters to classify AP patients into mild,moderate,or severe categories,guiding treatment decisions,such as intensive care unit admission,early enteral feeding,and antibiotic use.Despite the central role of imaging technologies and scoring systems in AP management,these methods have limitations in terms of accuracy,reproducibility,practicality and economics.Recent advancements of artificial intelligence(AI)provide new opportunities to enhance their performance by analyzing vast amounts of clinical and imaging data.AI algorithms can analyze large amounts of clinical and imaging data,identify scoring system patterns,and predict the clinical course of disease.AI-based models have shown promising results in predicting the severity and mortality of AP,but further validation and standardization are required before widespread clinical application.In addition,understanding the correlation between these three technologies will aid in developing new methods that can accurately,sensitively,and specifically be used in the diagnosis,severity prediction,and prognosis assessment of AP through complementary advantages.展开更多
By utilizing wave velocity imaging technology,the uniaxial multi-stage loading test was conducted on siltstone to attain wave velocity imagings during rock fracture.Based on the time series parameters of acoustic emis...By utilizing wave velocity imaging technology,the uniaxial multi-stage loading test was conducted on siltstone to attain wave velocity imagings during rock fracture.Based on the time series parameters of acoustic emissions(AE),joint response characteristics of the velocity field and AE during rock fracture were analyzed.Moreover,the localization effect of damage during rock fracture was explored by applying wave velocity imagings.The experimental result showed that the wave velocity imagings enable three-dimensional(3-D)visualization of the extent and spatial position of damage to the rock.A damaged zone has a low wave velocity and a zone where the low wave velocity is concentrated tends to correspond to a severely damaged zone.AE parameters and wave velocity imagings depict the changes in activity of cracks during rock fracture from temporal and spatial perspectives,respectively:the activity of cracks is strengthened,and the rate of AE events increases during rock fracture;correspondingly,the low-velocity zones are gradually aggregated and their area gradually increases.From the wave velocity imagings,the damaged zones in rock were divided into an initially damaged zone,a progressively damaged zone,and a fractured zone.During rock fracture,the progressively damaged zone and the fractured zone both develop around the initially damaged zone,showing a typical localization effect of the damage.By capturing the spatial development trends of the progressively damaged zone and fractured zone in wave velocity imagings,the development of microfractures can be predicted,exerting practical significance for determining the position of the main fracture.展开更多
To solve the problem that the production of Mahu conglomerate reservoir is not up to expectation after the multi-cluster plus temporary plugging fracturing technology is applied in horizontal wells, stages 2–6 in the...To solve the problem that the production of Mahu conglomerate reservoir is not up to expectation after the multi-cluster plus temporary plugging fracturing technology is applied in horizontal wells, stages 2–6 in the test well MaHW6285 are selected to carry out erosion tests with different pumping parameters. The downhole video imaging technology is used to monitor the degree of perforations erosion, and then the fracture initiation and proppant distribution of each cluster are analyzed. The results showed that proppant entered 76.7% of the perforations. The proppant was mainly distributed in a few perforation clusters, and the amount of proppant entered in most of the clusters was limited. The proppant distribution in Stage 4 was relatively uniform, and the fracture initiation of each cluster in the stage is more uniform. The proppant distribution in stages 2, 3, 5, and 6 was significantly uneven, and the uniform degree of fracture initiation in each cluster is low. More than 70% of the proppant dose in the stage entered clusters near the heel end, so the addition of diverters did not promote the uniform initiation of hydraulic fractures. There was a positive correlation between the amount of proppant added and the degree of perforations erosion, and the degree of perforations erosion ranged from 15% to 352%, with an average value of 74.5%, which was far higher than the statistical results of shale reservoir tests in North America. The use of 180° phase perforation(horizontal direction) can reduce the “Phase Bias” of perforations erosion, promote uniform perforations erosion and fluid inflow. The research results provide the basis for optimizing the pumping procedure, reducing the perforation erosion and improving the success rate of diversion.展开更多
Photodissociation dynamics of dichlorodifluoromethane (CF2Cl2) around 235 nm has been studied using the time-sliced velocity map imaging technology in combination with the resonance enhanced multi-photon ionization te...Photodissociation dynamics of dichlorodifluoromethane (CF2Cl2) around 235 nm has been studied using the time-sliced velocity map imaging technology in combination with the resonance enhanced multi-photon ionization technology. By measuring the raw images of chlorine atoms which are formed via one-photon dissociation of CF2Cl2, the speed and angular distributions can be directly obtained. The speed distribution of excited-state chlorine atoms consists of high translation energy (ET) and low ET components, which are related to direct dissociation on 3Q0 state and predissociation on the ground state induced by internal conversion, respectively. The speed distribution of ground-state chlorine atoms also consists of high ET and low ET components which are related to predissociation between 3Q0 and 1Q1 states and predissociation on the ground state induced by internal conversion, respectively. Radical dissociation channel is confirmed, nevertheless, secondary dissociation and three-body dissociation channels are excluded.展开更多
Aiming at the problem that the lattice feature exceeds the view field of the scanning electron microscope(SEM)measuring system,a new lattice measuring method is proposed based on integral imaging technology.When the s...Aiming at the problem that the lattice feature exceeds the view field of the scanning electron microscope(SEM)measuring system,a new lattice measuring method is proposed based on integral imaging technology.When the system works,the SEM measuring system is equivalent to an integral image acquisition system.Firstly,a lattice measuring method is researched based on integral imaging theory.Secondly,the system parameters are calibrated by the VLSI lattice standard.Finally,the value of the lattice standard to be tested is determined based on the calibration parameters and the lattice measuring algorithm.The experimental results show that,compared with the traditional electron microscope measurement method,the relative error of the measured value of the algorithm is maintained within 0.2%,with the same level of measurement accuracy,but it expands the field of view of the electron microscope measurement system,which is suitable for the measurement of samples under high magnification.展开更多
To ensure the quality and safety of pure milk,detection method of typical preservative-potassium sorbate in milk was researched in this paper.Hyperspectral imaging technology was applied to realize rapid detection.Inf...To ensure the quality and safety of pure milk,detection method of typical preservative-potassium sorbate in milk was researched in this paper.Hyperspectral imaging technology was applied to realize rapid detection.Influence factors for hyperspectral data collection for milk samples were firstly researched,including height of sample,bottom color and sample filled up container or not.Pretreatment methods and variable selection algorithms were applied into original spectral data.Rapid detection models were built based on support vector machine method(SVM).Finally,standard normalized variable(SNV)-competitive adaptive reweighted sampling(CARS)and SVM model was chosen in this paper.The accuracies of calibration set and testing set were 0.97 and 0.97,respectively.Kappa coefficient of the model was 0.93.It could be seen that hyperspectral imaging technology could be used to detect for potassium sorbate in milk.Meanwhile,it also provided methodological supports for the rapid detection of other preservatives in milk.展开更多
Medical imaging diagnosis is a bridge discipline and an important link in disease diagnosis. It provides evidence, guidance and evaluation for disease diagnosis, prognosis and treatment. There are professional indepen...Medical imaging diagnosis is a bridge discipline and an important link in disease diagnosis. It provides evidence, guidance and evaluation for disease diagnosis, prognosis and treatment. There are professional independence and professional complementarity between medical imaging technology and medical imaging diagnosis. Medical imaging diagnosis needs the support and support of medical imaging technology, and the development of medical imaging technology needs the promotion of diagnostic requirements. The application of medical imaging technology in disease imaging diagnosis and treatment has high diagnostic accuracy and high clinical application value.展开更多
With the development of medical and health care and the advancement of high-end technologies such as computers and artificial intelligence, great changes have taken place in medical imaging technology. On the one hand...With the development of medical and health care and the advancement of high-end technologies such as computers and artificial intelligence, great changes have taken place in medical imaging technology. On the one hand, medical imaging technology plays a more and more important role in clinical work and becomes an indispensable and important means in clinical practice. On the other hand, it also poses new challenges to the implementation of medical imaging technology. Although the development of undergraduate education has been promoted in China, the clinical experience, especially the experience in imaging technology, is relatively lacking, and the clinical teaching is relatively lack of a unified and specific plan. The purpose of this paper is to analyze the relevant teaching contents of CT and MRI in medical imaging technology, so as to provide necessary reference in the future practice and teaching process.展开更多
Medical imaging is a non-invasive process of obtaining internal tissue images of a part of the human body, which can provide an important basis for clinical diagnosis and treatment. The rapid development of medical im...Medical imaging is a non-invasive process of obtaining internal tissue images of a part of the human body, which can provide an important basis for clinical diagnosis and treatment. The rapid development of medical imaging technology enables doctors to judge the illness more accurately, and ensures the accuracy of medical imaging diagnosis based on the in-depth exploration and analysis of imaging technology to improve the level of medical imaging technology. The relationship between the two is complementary and professional complementarity exists. Medical imaging technology provides technical support for medical imaging diagnosis, which are mutually independent and complementary. Medical imaging diagnosis promotes the further development of medical imaging technology. Medical imaging technology promotes the reform of medical imaging diagnosis, which is dialectical and unified as a whole. In clinical practice, medical imaging technology and medical imaging diagnosis are reasonably and effectively combined, and the relationship between the two is handled to ensure mutual promotion and common development in the diagnosis and treatment process, and to improve the diagnosis level and service quality. Next, the article discusses the relationship between medical imaging technology and medical imaging diagnosis.展开更多
Objective: to explore the accuracy and sensitivity of bone malformation in C T diagnosis group. Methods: from March 2019 to June 2020, 72 patients suspected of osteonecrosis were selected and treated in our hospital. ...Objective: to explore the accuracy and sensitivity of bone malformation in C T diagnosis group. Methods: from March 2019 to June 2020, 72 patients suspected of osteonecrosis were selected and treated in our hospital. All patients underwent C-T examination, X-ray examination and magnetic resonance diagnosis. Statistical analysis was made on the bone state of femoral head defect diagnosed by C-T scan, X-ray and magnetic resonance, as well as the accuracy of C-T scan, X-ray and magnetic resonance diagnosis, and the sensitivity and specificity of femoral defect. Results: according to the final clinical diagnosis, out of 72 patients suspected of osteonecrosis, a total of 1 patient was diagnosed as osteoporosis. A total of 65 patients with femoral diseases, the positive rate of femoral necrosis was higher than that of CT scan and X-ray, while the positive rate of femoral necrosis was higher than that of X-ray, with statistical significance (P < 0.05). The accuracy, sensitivity and specificity of magnetic resonance diagnosis of femoral defect were higher than those of t-scan and x-ray scan, and the accuracy and sensitivity of CT scan were higher than those of x-ray, the difference was statistically significant (P < 0.05). Compared with X-ray films (P > 0.05), the features found by computed tomography of femoral necrosis have no statistical significance Conclusion: magnetic resonance diagnosis has higher value in clinical diagnosis of patients with femoral head necrosis than CT scan and X-ray films.展开更多
With the rapid development of artificial intelligence technology,its applications in medical imaging have become increasingly extensive.This review aimed to analyze the current development status and future direction ...With the rapid development of artificial intelligence technology,its applications in medical imaging have become increasingly extensive.This review aimed to analyze the current development status and future direction of intelligent imaging technology by investigating its application in various medical departments.To achieve this,we conducted a comprehensive search of various data sources up to 2024,including PubMed,Web of Science,and Google Scholar,based on the principle of comprehensive search.A total of 332 articles were screened,and after applying the inclusion and exclusion criteria,56 articles were selected for this study.According to the findings,intelligent imaging technology exhibits robust image recognition capabilities,making it applicable across diverse medical imaging modalities within hospital departments.This technology offers an efficient solution for the analysis of various medical images by extracting and accurately identifying complex features.Consequently,it significantly aids in the detection and diagnosis of clinical diseases.Its high accuracy,sensitivity,and specificity render it an indispensable tool in clinical diagnostics and related tasks,thereby enhancing the overall quality of healthcare services.The application of intelligent imaging technology in healthcare significantly enhances the efficiency of clinical diagnostics,resulting in more accurate and timely patient assessments.This advanced technology offers a faster and more precise diagnostic approach,ultimately improving patient care and outcomes.This review analyzed the socioeconomic changes brought about by intelligent imaging technology to provide a more comprehensive evaluation.Also,we systematically analyzed the current shortcomings of intelligent imaging technology and its future development directions,to enable future research.展开更多
With the reform and opening up entering a new era,China’s modern civilization and technology are“rolling forward”.In the medical field,innovative changes in radiology imaging technology have presented unprecedented...With the reform and opening up entering a new era,China’s modern civilization and technology are“rolling forward”.In the medical field,innovative changes in radiology imaging technology have presented unprecedented value opportunities in tumor diagnosis.Therefore,this article explores the classification of radiological imaging techniques,specifically including X-ray imaging,Computed Tomography(CT),Magnetic Resonance Imaging(MRI),Positron Emission Tomography(PET),and ultrasound imaging.Furthermore,it analyzes the practical application of these key technologies in tumor diagnosis and propose new ideas.In the end,the advantages and characteristics of radiology imaging technology are evaluated,and two limitations are also pointed out,which deserves profound reflection.展开更多
Brain tumor segmentation from Magnetic Resonance Imaging(MRI)supports neurologists and radiologists in analyzing tumors and developing personalized treatment plans,making it a crucial yet challenging task.Supervised m...Brain tumor segmentation from Magnetic Resonance Imaging(MRI)supports neurologists and radiologists in analyzing tumors and developing personalized treatment plans,making it a crucial yet challenging task.Supervised models such as 3D U-Net perform well in this domain,but their accuracy significantly improves with appropriate preprocessing.This paper demonstrates the effectiveness of preprocessing in brain tumor segmentation by applying a pre-segmentation step based on the Generalized Gaussian Mixture Model(GGMM)to T1 contrastenhanced MRI scans from the BraTS 2020 dataset.The Expectation-Maximization(EM)algorithm is employed to estimate parameters for four tissue classes,generating a new pre-segmented channel that enhances the training and performance of the 3DU-Net model.The proposed GGMM+3D U-Net framework achieved a Dice coefficient of 0.88 for whole tumor segmentation,outperforming both the standard multiscale 3D U-Net(0.84)and MMU-Net(0.85).It also delivered higher Intersection over Union(IoU)scores compared to models trained without preprocessing or with simpler GMM-based segmentation.These results,supported by qualitative visualizations,suggest that GGMM-based preprocessing should be integrated into brain tumor segmentation pipelines to optimize performance.展开更多
BACKGROUND Duodenal web is a rare congenital malformation,exceedingly uncommon in adults,and often misdiagnosed due to the subtle imaging features.CASE SUMMARY By analyzing the clinical diagnosis process and various i...BACKGROUND Duodenal web is a rare congenital malformation,exceedingly uncommon in adults,and often misdiagnosed due to the subtle imaging features.CASE SUMMARY By analyzing the clinical diagnosis process and various imaging findings of a patient from our institution,this case report emphasizes the necessity of upper gastrointestinal series in diagnosing duodenal webs,outlines its typical radiographic features,and provides a literature review on the etiology,clinical presentation,and management of this condition.CONCLUSION This case report emphasizes the necessity of upper gastrointestinal series in diagnosing duodenal webs.展开更多
Soybean is a crop with a long cultivation history that occupies an important position in agricultural production.Soybean mosaic virus disease(SMV)has caused a rapid decline in soybean yields,causing huge losses to the...Soybean is a crop with a long cultivation history that occupies an important position in agricultural production.Soybean mosaic virus disease(SMV)has caused a rapid decline in soybean yields,causing huge losses to the soybean industry,wherefrom its early detec-tion is particularly important.This study proposes a new classification method for the early SMV,dividing its severity into grades 0,1 and 2.In the case of a small number of experi-mental samples of soybeans,this study proposes a combined convolutional neural network and support vector machine(CNN-SVM)method for the early detection of SMV.Experimen-tal results showed that the accuracy of the training set of the CNN-SVM model reached 96.67%,and the accuracy rate of the test set reached 94.17%.The experiment proved the feasibility of using the proposed CNN-SVM model to classify early SMV under the new clas-sification method,and provided a new direction for early SMV detection based on hyper-spectral images.展开更多
This manuscript presents a preliminary investigation on the applicability of hyperspectral imaging technology for nondestructive and rapid analysis to reveal covered original handwritings.The hyperspectral imager Nuan...This manuscript presents a preliminary investigation on the applicability of hyperspectral imaging technology for nondestructive and rapid analysis to reveal covered original handwritings.The hyperspectral imager Nuance‑Macro was used to collect the reflected light signature of inks from the overlapping parts.The software Nuance1p46 was used to analyze the reflected light signature of inks which shows the covered original handwritings.Different types of black/blue ballpoint pen inks and black/blue gel pen inks were chosen for sample preparation.From the hyperspectral images examined,the covered original handwritings of application were revealed in 90.5%,69.1%,49.5%,and 78.6%of the cases.Further,the correlation between the revealing effect and spectral characteristics of the reflected light of inks at the overlapping parts was interpreted through theoretical analysis and experimental verification.The results indicated that when the spectral characteristics of the reflected light of inks at the overlapping parts were the same or very similar to that of the ink that was used to cover the original handwriting,the original handwriting could not be shown.On the contrary,when the spectral characteristics of the reflected light of inks at the overlapping parts were different to that of the ink that was used to cover the original handwriting,the original handwriting was revealed.展开更多
文摘The high mortality rates of colon and rectal tumors have put forward an urgent need for rapid, sensitive, and accurate diagnosis. The polarization imaging technology, with the advantages of noninvasiveness, noncontact, quantification, rapidity, and high sensitivity, is expected to be used for auxiliary diagnosis of colorectal cancer. Herein, the differences in colorectal tissues of four pathological types were studied using this powerful technology. Polarized light imaging combined with the Mueller matrix decomposition (MMPD) method was applied to extract structural features that may be related to colorectal tumors. It demonstrated that parameters δ and θ could reflect the structural differences of colorectal tumors. Preliminary simulated experiment results revealed that the parameter δ was related to the fiber density, and the parameter θ was related to the fiber angle. Then Tamura image texture analysis was used to quantitatively describe tissues of different pathological types, and the results showed that the coarseness, contrast, directionality, and roughness of the four groups were statistically different. Texture analysis based on the quantitative data of the four dimensions could be applied for the identification of benign and malignant colorectal tumors.
基金National Key Research and Development Program of China(2022YFC 3602400)Shanghai Municipal Health Commission“Top Priority Research Center”(2023-ZZ02021)+2 种基金Shanghai Public Health Key Discipline Construction Project(GWVI-11.1-26)Shanghai Academic/Technology Research Leader(21XD1432100)Key Research and Development Program of Shandong Province(2021SFGC0503)。
文摘Cardiovascular damage caused by cancer treatment has become an important cause of death for tumor survivors.With the recognition of cardiovascular diseases and cancer therapy-related cardiovascular toxicity(CTR-CVT)in tumor patients,noninvasive imaging technologies play pivotal roles in the risk stratification,early diagnosis,monitoring and follow-up for CTR-CVT.In recent years,the field of cardio-oncology has witnessed continual updates in diagnostic and therapeutic strategies,with several pertinent guidelines and expert consensus documents issued in China and abroad.However,there remains a conspicuous absence of systematic guidance documents on the application of imaging techniques in the clinical practice of cardio-oncology.Therefore,the Chinese Anti-Cancer Association Society of Integrative Cardio-oncology,the Ultrasound Branch of the Chinese Medical Association,and the Chinese Society of Echocardiography convened experts to formulate the"Chinese guideline for the clinical application of noninvasive imaging technology in accessing cancer therapy-related cardiovascular toxicity".Building upon the systematic evaluation of guidelines and the latest evidence-based medical research in the field of cardio-oncology domestically and abroad,and in conjunction with data derived from evidence-based medical research in China,this guideline proposes noninvasive imaging examination methods and monitoring strategies for CTR-CVT,aiming to further standardize and guide the clinical practice of multidisciplinary physicians specializing in cardio-oncology in China.
文摘Traditional laparoscopic liver cancer resection faces challenges,such as difficultiesin tumor localization and accurate marking of liver segments,as well as theinability to provide real-time intraoperative navigation.This approach falls shortof meeting the demands for precise and anatomical liver resection.The introductionof fluorescence imaging technology,particularly indocyanine green,hasdemonstrated significant advantages in visualizing bile ducts,tumor localization,segment staining,microscopic lesion display,margin examination,and lymphnode visualization.This technology addresses the inherent limitations oftraditional laparoscopy,which lacks direct tactile feedback,and is increasinglybecoming the standard in laparoscopic procedures.Guided by fluorescenceimaging technology,laparoscopic liver cancer resection is poised to become thepredominant technique for liver tumor removal,enhancing the accuracy,safetyand efficiency of the procedure.
文摘Skin imaging technologies such as dermoscopy, high-frequency ultrasound, reflective confocal microscopy and optical coherence tomography are developing rapidly in clinical application. Skin imaging technology can improve clinical diagnosis rate, and its non-invasiveness and repeatability make it occupy an irreplaceable position in clinical diagnosis. With the “booming development” of medical technology, skin imaging technology can improve clinical diagnosis rate. Researchers have made significant advances in assisting clinical diagnosis, prediction, and treatment of disease. This article reviews the application and progress of skin imaging in the diagnosis of psoriasis.
基金Fujian Provincial Health Technology Project,No.2020GGA079Natural Science Foundation of Fujian Province,No.2021J011380National Natural Science Foundation of China,No.62276146.
文摘Acute pancreatitis(AP)is a potentially life-threatening inflammatory disease of the pancreas,with clinical management determined by the severity of the disease.Diagnosis,severity prediction,and prognosis assessment of AP typically involve the use of imaging technologies,such as computed tomography,magnetic resonance imaging,and ultrasound,and scoring systems,including Ranson,Acute Physiology and Chronic Health Evaluation II,and Bedside Index for Severity in AP scores.Computed tomography is considered the gold standard imaging modality for AP due to its high sensitivity and specificity,while magnetic resonance imaging and ultrasound can provide additional information on biliary obstruction and vascular complications.Scoring systems utilize clinical and laboratory parameters to classify AP patients into mild,moderate,or severe categories,guiding treatment decisions,such as intensive care unit admission,early enteral feeding,and antibiotic use.Despite the central role of imaging technologies and scoring systems in AP management,these methods have limitations in terms of accuracy,reproducibility,practicality and economics.Recent advancements of artificial intelligence(AI)provide new opportunities to enhance their performance by analyzing vast amounts of clinical and imaging data.AI algorithms can analyze large amounts of clinical and imaging data,identify scoring system patterns,and predict the clinical course of disease.AI-based models have shown promising results in predicting the severity and mortality of AP,but further validation and standardization are required before widespread clinical application.In addition,understanding the correlation between these three technologies will aid in developing new methods that can accurately,sensitively,and specifically be used in the diagnosis,severity prediction,and prognosis assessment of AP through complementary advantages.
基金Projects(51774138,51804122,51904105)supported by the National Natural Science Foundation of ChinaProjects(E2021209148,E2021209052)supported by the Natural Science Foundation of Hebei Province,China。
文摘By utilizing wave velocity imaging technology,the uniaxial multi-stage loading test was conducted on siltstone to attain wave velocity imagings during rock fracture.Based on the time series parameters of acoustic emissions(AE),joint response characteristics of the velocity field and AE during rock fracture were analyzed.Moreover,the localization effect of damage during rock fracture was explored by applying wave velocity imagings.The experimental result showed that the wave velocity imagings enable three-dimensional(3-D)visualization of the extent and spatial position of damage to the rock.A damaged zone has a low wave velocity and a zone where the low wave velocity is concentrated tends to correspond to a severely damaged zone.AE parameters and wave velocity imagings depict the changes in activity of cracks during rock fracture from temporal and spatial perspectives,respectively:the activity of cracks is strengthened,and the rate of AE events increases during rock fracture;correspondingly,the low-velocity zones are gradually aggregated and their area gradually increases.From the wave velocity imagings,the damaged zones in rock were divided into an initially damaged zone,a progressively damaged zone,and a fractured zone.During rock fracture,the progressively damaged zone and the fractured zone both develop around the initially damaged zone,showing a typical localization effect of the damage.By capturing the spatial development trends of the progressively damaged zone and fractured zone in wave velocity imagings,the development of microfractures can be predicted,exerting practical significance for determining the position of the main fracture.
基金Supported by the PetroChina–China University of Petroleum (Beijing) Strategic Cooperation Project (ZLZX2020-04)。
文摘To solve the problem that the production of Mahu conglomerate reservoir is not up to expectation after the multi-cluster plus temporary plugging fracturing technology is applied in horizontal wells, stages 2–6 in the test well MaHW6285 are selected to carry out erosion tests with different pumping parameters. The downhole video imaging technology is used to monitor the degree of perforations erosion, and then the fracture initiation and proppant distribution of each cluster are analyzed. The results showed that proppant entered 76.7% of the perforations. The proppant was mainly distributed in a few perforation clusters, and the amount of proppant entered in most of the clusters was limited. The proppant distribution in Stage 4 was relatively uniform, and the fracture initiation of each cluster in the stage is more uniform. The proppant distribution in stages 2, 3, 5, and 6 was significantly uneven, and the uniform degree of fracture initiation in each cluster is low. More than 70% of the proppant dose in the stage entered clusters near the heel end, so the addition of diverters did not promote the uniform initiation of hydraulic fractures. There was a positive correlation between the amount of proppant added and the degree of perforations erosion, and the degree of perforations erosion ranged from 15% to 352%, with an average value of 74.5%, which was far higher than the statistical results of shale reservoir tests in North America. The use of 180° phase perforation(horizontal direction) can reduce the “Phase Bias” of perforations erosion, promote uniform perforations erosion and fluid inflow. The research results provide the basis for optimizing the pumping procedure, reducing the perforation erosion and improving the success rate of diversion.
基金supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No.17KJB150005 and No.17KJD510001)the Natural Science Foundation of Changzhou Institute of Technology (No.YN1507 and No.YN1611)+1 种基金Undergraduate Training Program for Innovation of Changzhou Institute of Technology (No.2017276Y)the National Natural Science Foundation of China (No.21273212)
文摘Photodissociation dynamics of dichlorodifluoromethane (CF2Cl2) around 235 nm has been studied using the time-sliced velocity map imaging technology in combination with the resonance enhanced multi-photon ionization technology. By measuring the raw images of chlorine atoms which are formed via one-photon dissociation of CF2Cl2, the speed and angular distributions can be directly obtained. The speed distribution of excited-state chlorine atoms consists of high translation energy (ET) and low ET components, which are related to direct dissociation on 3Q0 state and predissociation on the ground state induced by internal conversion, respectively. The speed distribution of ground-state chlorine atoms also consists of high ET and low ET components which are related to predissociation between 3Q0 and 1Q1 states and predissociation on the ground state induced by internal conversion, respectively. Radical dissociation channel is confirmed, nevertheless, secondary dissociation and three-body dissociation channels are excluded.
基金supported by the National Key Research and Development Program(No.2019YFB2005503)。
文摘Aiming at the problem that the lattice feature exceeds the view field of the scanning electron microscope(SEM)measuring system,a new lattice measuring method is proposed based on integral imaging technology.When the system works,the SEM measuring system is equivalent to an integral image acquisition system.Firstly,a lattice measuring method is researched based on integral imaging theory.Secondly,the system parameters are calibrated by the VLSI lattice standard.Finally,the value of the lattice standard to be tested is determined based on the calibration parameters and the lattice measuring algorithm.The experimental results show that,compared with the traditional electron microscope measurement method,the relative error of the measured value of the algorithm is maintained within 0.2%,with the same level of measurement accuracy,but it expands the field of view of the electron microscope measurement system,which is suitable for the measurement of samples under high magnification.
基金Supported by the National Key Research and Development Program of China(2016YFD0700204-02)China Agriculture Research System(CARS-36)Heilongjiang Post-doctoral Subsidy Project of China(LBH-Z17020)。
文摘To ensure the quality and safety of pure milk,detection method of typical preservative-potassium sorbate in milk was researched in this paper.Hyperspectral imaging technology was applied to realize rapid detection.Influence factors for hyperspectral data collection for milk samples were firstly researched,including height of sample,bottom color and sample filled up container or not.Pretreatment methods and variable selection algorithms were applied into original spectral data.Rapid detection models were built based on support vector machine method(SVM).Finally,standard normalized variable(SNV)-competitive adaptive reweighted sampling(CARS)and SVM model was chosen in this paper.The accuracies of calibration set and testing set were 0.97 and 0.97,respectively.Kappa coefficient of the model was 0.93.It could be seen that hyperspectral imaging technology could be used to detect for potassium sorbate in milk.Meanwhile,it also provided methodological supports for the rapid detection of other preservatives in milk.
文摘Medical imaging diagnosis is a bridge discipline and an important link in disease diagnosis. It provides evidence, guidance and evaluation for disease diagnosis, prognosis and treatment. There are professional independence and professional complementarity between medical imaging technology and medical imaging diagnosis. Medical imaging diagnosis needs the support and support of medical imaging technology, and the development of medical imaging technology needs the promotion of diagnostic requirements. The application of medical imaging technology in disease imaging diagnosis and treatment has high diagnostic accuracy and high clinical application value.
文摘With the development of medical and health care and the advancement of high-end technologies such as computers and artificial intelligence, great changes have taken place in medical imaging technology. On the one hand, medical imaging technology plays a more and more important role in clinical work and becomes an indispensable and important means in clinical practice. On the other hand, it also poses new challenges to the implementation of medical imaging technology. Although the development of undergraduate education has been promoted in China, the clinical experience, especially the experience in imaging technology, is relatively lacking, and the clinical teaching is relatively lack of a unified and specific plan. The purpose of this paper is to analyze the relevant teaching contents of CT and MRI in medical imaging technology, so as to provide necessary reference in the future practice and teaching process.
文摘Medical imaging is a non-invasive process of obtaining internal tissue images of a part of the human body, which can provide an important basis for clinical diagnosis and treatment. The rapid development of medical imaging technology enables doctors to judge the illness more accurately, and ensures the accuracy of medical imaging diagnosis based on the in-depth exploration and analysis of imaging technology to improve the level of medical imaging technology. The relationship between the two is complementary and professional complementarity exists. Medical imaging technology provides technical support for medical imaging diagnosis, which are mutually independent and complementary. Medical imaging diagnosis promotes the further development of medical imaging technology. Medical imaging technology promotes the reform of medical imaging diagnosis, which is dialectical and unified as a whole. In clinical practice, medical imaging technology and medical imaging diagnosis are reasonably and effectively combined, and the relationship between the two is handled to ensure mutual promotion and common development in the diagnosis and treatment process, and to improve the diagnosis level and service quality. Next, the article discusses the relationship between medical imaging technology and medical imaging diagnosis.
文摘Objective: to explore the accuracy and sensitivity of bone malformation in C T diagnosis group. Methods: from March 2019 to June 2020, 72 patients suspected of osteonecrosis were selected and treated in our hospital. All patients underwent C-T examination, X-ray examination and magnetic resonance diagnosis. Statistical analysis was made on the bone state of femoral head defect diagnosed by C-T scan, X-ray and magnetic resonance, as well as the accuracy of C-T scan, X-ray and magnetic resonance diagnosis, and the sensitivity and specificity of femoral defect. Results: according to the final clinical diagnosis, out of 72 patients suspected of osteonecrosis, a total of 1 patient was diagnosed as osteoporosis. A total of 65 patients with femoral diseases, the positive rate of femoral necrosis was higher than that of CT scan and X-ray, while the positive rate of femoral necrosis was higher than that of X-ray, with statistical significance (P < 0.05). The accuracy, sensitivity and specificity of magnetic resonance diagnosis of femoral defect were higher than those of t-scan and x-ray scan, and the accuracy and sensitivity of CT scan were higher than those of x-ray, the difference was statistically significant (P < 0.05). Compared with X-ray films (P > 0.05), the features found by computed tomography of femoral necrosis have no statistical significance Conclusion: magnetic resonance diagnosis has higher value in clinical diagnosis of patients with femoral head necrosis than CT scan and X-ray films.
基金supported by grants from the Chongqing Medical Scientific Research Project(No.2024MSXM109)Science and Technology Innovation Key R&D Program of Chongqing(No.CSTB2022TIAD-STX0008).
文摘With the rapid development of artificial intelligence technology,its applications in medical imaging have become increasingly extensive.This review aimed to analyze the current development status and future direction of intelligent imaging technology by investigating its application in various medical departments.To achieve this,we conducted a comprehensive search of various data sources up to 2024,including PubMed,Web of Science,and Google Scholar,based on the principle of comprehensive search.A total of 332 articles were screened,and after applying the inclusion and exclusion criteria,56 articles were selected for this study.According to the findings,intelligent imaging technology exhibits robust image recognition capabilities,making it applicable across diverse medical imaging modalities within hospital departments.This technology offers an efficient solution for the analysis of various medical images by extracting and accurately identifying complex features.Consequently,it significantly aids in the detection and diagnosis of clinical diseases.Its high accuracy,sensitivity,and specificity render it an indispensable tool in clinical diagnostics and related tasks,thereby enhancing the overall quality of healthcare services.The application of intelligent imaging technology in healthcare significantly enhances the efficiency of clinical diagnostics,resulting in more accurate and timely patient assessments.This advanced technology offers a faster and more precise diagnostic approach,ultimately improving patient care and outcomes.This review analyzed the socioeconomic changes brought about by intelligent imaging technology to provide a more comprehensive evaluation.Also,we systematically analyzed the current shortcomings of intelligent imaging technology and its future development directions,to enable future research.
文摘With the reform and opening up entering a new era,China’s modern civilization and technology are“rolling forward”.In the medical field,innovative changes in radiology imaging technology have presented unprecedented value opportunities in tumor diagnosis.Therefore,this article explores the classification of radiological imaging techniques,specifically including X-ray imaging,Computed Tomography(CT),Magnetic Resonance Imaging(MRI),Positron Emission Tomography(PET),and ultrasound imaging.Furthermore,it analyzes the practical application of these key technologies in tumor diagnosis and propose new ideas.In the end,the advantages and characteristics of radiology imaging technology are evaluated,and two limitations are also pointed out,which deserves profound reflection.
基金Princess Nourah Bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R826),Princess Nourah Bint Abdulrahman University,Riyadh,Saudi ArabiaNorthern Border University,Saudi Arabia,for supporting this work through project number(NBU-CRP-2025-2933).
文摘Brain tumor segmentation from Magnetic Resonance Imaging(MRI)supports neurologists and radiologists in analyzing tumors and developing personalized treatment plans,making it a crucial yet challenging task.Supervised models such as 3D U-Net perform well in this domain,but their accuracy significantly improves with appropriate preprocessing.This paper demonstrates the effectiveness of preprocessing in brain tumor segmentation by applying a pre-segmentation step based on the Generalized Gaussian Mixture Model(GGMM)to T1 contrastenhanced MRI scans from the BraTS 2020 dataset.The Expectation-Maximization(EM)algorithm is employed to estimate parameters for four tissue classes,generating a new pre-segmented channel that enhances the training and performance of the 3DU-Net model.The proposed GGMM+3D U-Net framework achieved a Dice coefficient of 0.88 for whole tumor segmentation,outperforming both the standard multiscale 3D U-Net(0.84)and MMU-Net(0.85).It also delivered higher Intersection over Union(IoU)scores compared to models trained without preprocessing or with simpler GMM-based segmentation.These results,supported by qualitative visualizations,suggest that GGMM-based preprocessing should be integrated into brain tumor segmentation pipelines to optimize performance.
文摘BACKGROUND Duodenal web is a rare congenital malformation,exceedingly uncommon in adults,and often misdiagnosed due to the subtle imaging features.CASE SUMMARY By analyzing the clinical diagnosis process and various imaging findings of a patient from our institution,this case report emphasizes the necessity of upper gastrointestinal series in diagnosing duodenal webs,outlines its typical radiographic features,and provides a literature review on the etiology,clinical presentation,and management of this condition.CONCLUSION This case report emphasizes the necessity of upper gastrointestinal series in diagnosing duodenal webs.
基金This work is supported by National Natural Science Founda-tion of China(NSFC)(32071904)。
文摘Soybean is a crop with a long cultivation history that occupies an important position in agricultural production.Soybean mosaic virus disease(SMV)has caused a rapid decline in soybean yields,causing huge losses to the soybean industry,wherefrom its early detec-tion is particularly important.This study proposes a new classification method for the early SMV,dividing its severity into grades 0,1 and 2.In the case of a small number of experi-mental samples of soybeans,this study proposes a combined convolutional neural network and support vector machine(CNN-SVM)method for the early detection of SMV.Experimen-tal results showed that the accuracy of the training set of the CNN-SVM model reached 96.67%,and the accuracy rate of the test set reached 94.17%.The experiment proved the feasibility of using the proposed CNN-SVM model to classify early SMV under the new clas-sification method,and provided a new direction for early SMV detection based on hyper-spectral images.
基金supported by Program for Young Innovative Research Team in China University of Political Science and Law(1000‑10814344)Young Research in China University of Political Science and Law(16ZFQ82008).
文摘This manuscript presents a preliminary investigation on the applicability of hyperspectral imaging technology for nondestructive and rapid analysis to reveal covered original handwritings.The hyperspectral imager Nuance‑Macro was used to collect the reflected light signature of inks from the overlapping parts.The software Nuance1p46 was used to analyze the reflected light signature of inks which shows the covered original handwritings.Different types of black/blue ballpoint pen inks and black/blue gel pen inks were chosen for sample preparation.From the hyperspectral images examined,the covered original handwritings of application were revealed in 90.5%,69.1%,49.5%,and 78.6%of the cases.Further,the correlation between the revealing effect and spectral characteristics of the reflected light of inks at the overlapping parts was interpreted through theoretical analysis and experimental verification.The results indicated that when the spectral characteristics of the reflected light of inks at the overlapping parts were the same or very similar to that of the ink that was used to cover the original handwriting,the original handwriting could not be shown.On the contrary,when the spectral characteristics of the reflected light of inks at the overlapping parts were different to that of the ink that was used to cover the original handwriting,the original handwriting was revealed.
