Objective:To observe the guiding role of image navigation technology in the treatment of patients with tuberculosis.Methods:A total of 188 patients with multidrug-resistant tuberculosis(MDR-TB)and rifampin-resistant t...Objective:To observe the guiding role of image navigation technology in the treatment of patients with tuberculosis.Methods:A total of 188 patients with multidrug-resistant tuberculosis(MDR-TB)and rifampin-resistant tuberculosis(RR-TB)who were hospitalized in the hospital from September 2023 to September 2024 were included.After random equal division,94 patients were included in the control group and received systemic anti-tuberculosis chemotherapy;94 patients were included in the treatment group.Based on systemic anti-tuberculosis treatment,digital subtraction angiography(DSA)technology was used to inject targeted drugs into the bronchial lumen through bronchoscopy to complete anti-tuberculosis treatment.The changes in sputum bacteria and imaging were observed in the two groups.Results:The sputum negative conversion rate in the treatment group was significantly higher than that in the control group(86.2%;70.2%)(u=2.74,P<0.01).The absorption rate of CT imaging lesions(significant absorption)was significantly higher than that of the control group(83.0%;50%)(u=2.45,P<0.05).The closure rate of chest CT cavities was significantly higher than that of the control group(74.2%;39.1%)(u=2.20,P<0.05).During the treatment process,the improvement of clinical symptoms was significantly higher than that of the control group,and the difference was statistically significant.There was no statistically significant difference in the incidence of adverse reactions between the two groups(x^(2)=0.434,P>0.05).Conclusion:Based on DSA,targeted drug infusion within the bronchoscope can significantly improve the efficacy of the disease,with mild adverse reactions that patients can tolerate.It is worthy of promotion and application.展开更多
Radical gastrectomy for gastric cancer demands meticulous pre-operative staging and real-time intra-operative guidance to optimise oncologic margins and mini-mize complications.Recent advances in artificial-intelligen...Radical gastrectomy for gastric cancer demands meticulous pre-operative staging and real-time intra-operative guidance to optimise oncologic margins and mini-mize complications.Recent advances in artificial-intelligence algorithms reliably integrate multimodal clinical,imaging and pathological data,producing highly reproducible tumour-staging and risk-stratification models that inform persona-lised operative strategies.Concurrently,navigation platforms that fuse computed-tomography,magnetic-resonance,ultrasound and fluorescence datasets generate patient-specific three-dimensional reconstructions with sub-millimeter registra-tion accuracy,enabling dynamic margin delineation and reducing inadvertent tissue injury.Predictive analytics that assimilate intra-operative metrics with early postoperative information can forecast survival and complication profiles,thereby supporting tailored follow-up protocols.Remaining barriers include safeguarding data privacy,accelerating image-registration and inference speeds,meeting high computational-resource demands and offsetting the substantial capital and main-tenance costs of these systems.Nevertheless,the convergent evolution of artificial intelligence and real-time imaging navigation is poised to transform radical gast-rectomy by elevating surgical precision,enhancing patient safety and improving long-term outcomes;realizing this promise will require algorithmic refinement,multicenter validation,robust ethical frameworks and cost-effective implemen-tation models.展开更多
Objective To study the effect of using improved 2D computer-assisted fluoroscopic navigation through simulating 3D vertebrae image to guide pedicle screw internal fixation.Methods Posterior pedicle screw internal fixa...Objective To study the effect of using improved 2D computer-assisted fluoroscopic navigation through simulating 3D vertebrae image to guide pedicle screw internal fixation.Methods Posterior pedicle screw internal fixation,distraction展开更多
Accurate localization of blood vessels with image navigation is a key element in vascular-related medical research and vascular surgery.However,current vascular navigation techniques cannot provide naked-eye visualiza...Accurate localization of blood vessels with image navigation is a key element in vascular-related medical research and vascular surgery.However,current vascular navigation techniques cannot provide naked-eye visualization of deep vascular information noninvasively and with high resolution,resulting in inaccurate vascular anatomy and diminished surgical success rates.Here,we introduce a photoacousticenabled automatic vascular navigation method combining photoacoustic computed tomography with augmented and mixed reality,for the first time,to our knowledge,enabling accurate and noninvasive visualization of the deep microvascular network within the tissues in real time on a real surgical surface.This approach achieves precise vascular localization accuracy(<0.89 mm)and tiny vascular relocation latency(<1 s)through a zero-mean normalization idea-based visual tracking algorithm and a curved surfacefitting algorithm.Further,the subcutaneous vessels of minimum diameter(∼0.15 mm)in rabbit thigh and the maximum depth(∼7 mm)in human arm can be vividly projected on the skin surface with a computer visionbased projection tracking system to simulate preoperative and intraoperative vascular localization.Thereby,this strategy provides a way to visualize deep vessels without damage on the surgical surface and with precise image navigation,opening an avenue for the application of photoacoustic imaging in surgical operations.展开更多
FY-4 is the second generation of Chinese geostationary satellite for quantitative remote sensing meteorological application. The detection efficiency, spectral bands, spatial and time resolution have been greatly impr...FY-4 is the second generation of Chinese geostationary satellite for quantitative remote sensing meteorological application. The detection efficiency, spectral bands, spatial and time resolution have been greatly improved with respect to those of first generation, as well as the radiometric calibration and sensitivity. The combination of multichannel detection and vertical sounding was first realized on FY-4, because both the Advanced Geostationary Radiation Imager(AGRI) and Geostationary Interferometric Infrared Sounder(GIIRS) are on the same spacecraft. The main performance of the payloads including AGRI, GIIRS and Lightning Mapping Imager, and the spacecraft bus are presented, the performance being equivalent to the level of the third generation meteorological satellites in Europe and USA. The acquiring methods of remote sensing data including multichannel and high precision quantitative observing, imaging collection of the ground and cloud, vertical observation of atmospheric temperature and moisture, lightning imaging observation and space environment detection are shown. Several innovative technologies including high accuracy rotation angle detection and scanning control, high precision calibration, micro vibration suppression, unified reference of platform and payload and on-orbit measurement, real-time image navigation and registration on-orbit were applied in FY-4.展开更多
Objective To explore the value of clinical application of a navigation system with three-dimensional(3D)imaging for thermal ablation of liver tumors.Methods The study cohort comprised 60 patients who underwent compute...Objective To explore the value of clinical application of a navigation system with three-dimensional(3D)imaging for thermal ablation of liver tumors.Methods The study cohort comprised 60 patients who underwent computer tomography-(CT)guided thermal ablation(radiofrequency or microwave ablation)of liver tumors in our department from August 2021 to October 2022.A random envelope method was used to allocate the study patients randomly to two groups of 30 patients each:a navigation and a control group.An intraoperative 3D imaging navigation system with CT guidance was used in the navigation group,whereas traditional CT guidance was used in the control group.During the thermal ablation process,the number of puncture needle adjustments,time to target puncture,and number of CT scans were recorded and compare between the two groups.Results The average number of punctures and needle adjustments was significantly lower in the navigation group(2.7±1.1 mins)than in the control group(4.9±3.7 mins).The average time taken to puncture the target was significantly shorter in the navigation group(11.3±4.2 mins)than in the control group(15.5±4.8 mins).There average number of CT scans was significantly smaller in the navigation group(4.5±1.6)than in the control group(8.4±4.5)(all P<0.05).Conclusion Use of an intraoperative 3D imaging navigation system in thermal ablation of liver tumors can improve the accuracy of tumor thermal ablation puncture and reduce the number of punctures,number of CT scans,and average puncture time.Such systems can play an important role in the clinic.展开更多
This study introduces some innovations in the data processing algorithm for Chinese FY meteorological satellites. Issues about satellite image navigation, radiation calibration, and data assimilation are discussed. A...This study introduces some innovations in the data processing algorithm for Chinese FY meteorological satellites. Issues about satellite image navigation, radiation calibration, and data assimilation are discussed. A time series of the earth＇s disk center-line count provides information on the orientation of the satellite spin axis. With this information, the altitude parameters of the satellite and then the earth disk location in the south-north direction may be solved. In each spin cycle, the satellite views the sun and the earth. Given the satellite position and altitude, the angle （β） subtended at the satellite by the sun and the earth can be calculated and predicted. Thus, the earth＇s disk location in the east-west direction is fixed. Based on this principle, we derived an automatic image navigation algorithm for FY2 geosynchronous meteorological satellites with an accuracy approaching pixel level. The FY2 meteorological satellite traveling in a geostationary orbit suffers a large amount of radiation from the sun. The radiation varies on both diurnal and annual scales, which causes radiation responses in the thermal infrared （IR） bands wherein the wavelengths greater than 3.5 μm vibrate periodically on scales of hours to years. These vibrations must be precisely calibrated. First, based on the accurate estimation of the radiant contribution from the front-optics, the variation characteristics of the calibration parameters are obtained on a temporal scale of hours from the space-borne inner-blackbody （IBB） measurement results. Second, the in-orbit measured radiation of the lunar surface is referenced and utilized to correct the sys- tematic bias of the IBB calibration from daily to annual scales. By using such algorithms, we achieved a calibration accuracy of the FY2 satellite＇s IR imagery of less than 1 K. The on-orbit satellite instrument parameters play an important role in data quality; however, they may be mis-measured due to limitations in the measurement conditions or may be changed due to the space environment after launch. A satellite instrument parameters on-orbit optimizer （SIPOn-Opt） for a polar orbit meteorological satellite was developed to optimize the true state of the instrument parameters on-orbit with regard to the observation constraints. When applying the SIPOn-Opt to FY3 sounding instruments, the FY3 data quality was much improved, compared to its European and the U.S. polar orbit meteorological satellite counterparts, leading to improved forecast skill of numerical weather prediction.展开更多
基金Science and Education Department Harbin Health Committee Project。
文摘Objective:To observe the guiding role of image navigation technology in the treatment of patients with tuberculosis.Methods:A total of 188 patients with multidrug-resistant tuberculosis(MDR-TB)and rifampin-resistant tuberculosis(RR-TB)who were hospitalized in the hospital from September 2023 to September 2024 were included.After random equal division,94 patients were included in the control group and received systemic anti-tuberculosis chemotherapy;94 patients were included in the treatment group.Based on systemic anti-tuberculosis treatment,digital subtraction angiography(DSA)technology was used to inject targeted drugs into the bronchial lumen through bronchoscopy to complete anti-tuberculosis treatment.The changes in sputum bacteria and imaging were observed in the two groups.Results:The sputum negative conversion rate in the treatment group was significantly higher than that in the control group(86.2%;70.2%)(u=2.74,P<0.01).The absorption rate of CT imaging lesions(significant absorption)was significantly higher than that of the control group(83.0%;50%)(u=2.45,P<0.05).The closure rate of chest CT cavities was significantly higher than that of the control group(74.2%;39.1%)(u=2.20,P<0.05).During the treatment process,the improvement of clinical symptoms was significantly higher than that of the control group,and the difference was statistically significant.There was no statistically significant difference in the incidence of adverse reactions between the two groups(x^(2)=0.434,P>0.05).Conclusion:Based on DSA,targeted drug infusion within the bronchoscope can significantly improve the efficacy of the disease,with mild adverse reactions that patients can tolerate.It is worthy of promotion and application.
基金Supported by Gansu Provincial Natural Science Foundation,No.25JRRA304and National Health Commission,No.NHCDP2022001。
文摘Radical gastrectomy for gastric cancer demands meticulous pre-operative staging and real-time intra-operative guidance to optimise oncologic margins and mini-mize complications.Recent advances in artificial-intelligence algorithms reliably integrate multimodal clinical,imaging and pathological data,producing highly reproducible tumour-staging and risk-stratification models that inform persona-lised operative strategies.Concurrently,navigation platforms that fuse computed-tomography,magnetic-resonance,ultrasound and fluorescence datasets generate patient-specific three-dimensional reconstructions with sub-millimeter registra-tion accuracy,enabling dynamic margin delineation and reducing inadvertent tissue injury.Predictive analytics that assimilate intra-operative metrics with early postoperative information can forecast survival and complication profiles,thereby supporting tailored follow-up protocols.Remaining barriers include safeguarding data privacy,accelerating image-registration and inference speeds,meeting high computational-resource demands and offsetting the substantial capital and main-tenance costs of these systems.Nevertheless,the convergent evolution of artificial intelligence and real-time imaging navigation is poised to transform radical gast-rectomy by elevating surgical precision,enhancing patient safety and improving long-term outcomes;realizing this promise will require algorithmic refinement,multicenter validation,robust ethical frameworks and cost-effective implemen-tation models.
文摘Objective To study the effect of using improved 2D computer-assisted fluoroscopic navigation through simulating 3D vertebrae image to guide pedicle screw internal fixation.Methods Posterior pedicle screw internal fixation,distraction
基金supported by the National Natural Science Foundation of China(Grant Nos.61822505 and 11774101)the Natural Science Foundation of Guangdong Province(Grant No.2022A1515010548)+2 种基金the Science and Technology Program of Guangzhou(Grant Nos.2019050001 and 202206010094)the National Key R&D Program of China(Grant No.2022YFC2304205)the Special Funds for the Cultivation of Guangdong College Students’Scientific and Technological Innovation(Grant No.pdjh2023a0134).
文摘Accurate localization of blood vessels with image navigation is a key element in vascular-related medical research and vascular surgery.However,current vascular navigation techniques cannot provide naked-eye visualization of deep vascular information noninvasively and with high resolution,resulting in inaccurate vascular anatomy and diminished surgical success rates.Here,we introduce a photoacousticenabled automatic vascular navigation method combining photoacoustic computed tomography with augmented and mixed reality,for the first time,to our knowledge,enabling accurate and noninvasive visualization of the deep microvascular network within the tissues in real time on a real surgical surface.This approach achieves precise vascular localization accuracy(<0.89 mm)and tiny vascular relocation latency(<1 s)through a zero-mean normalization idea-based visual tracking algorithm and a curved surfacefitting algorithm.Further,the subcutaneous vessels of minimum diameter(∼0.15 mm)in rabbit thigh and the maximum depth(∼7 mm)in human arm can be vividly projected on the skin surface with a computer visionbased projection tracking system to simulate preoperative and intraoperative vascular localization.Thereby,this strategy provides a way to visualize deep vessels without damage on the surgical surface and with precise image navigation,opening an avenue for the application of photoacoustic imaging in surgical operations.
文摘FY-4 is the second generation of Chinese geostationary satellite for quantitative remote sensing meteorological application. The detection efficiency, spectral bands, spatial and time resolution have been greatly improved with respect to those of first generation, as well as the radiometric calibration and sensitivity. The combination of multichannel detection and vertical sounding was first realized on FY-4, because both the Advanced Geostationary Radiation Imager(AGRI) and Geostationary Interferometric Infrared Sounder(GIIRS) are on the same spacecraft. The main performance of the payloads including AGRI, GIIRS and Lightning Mapping Imager, and the spacecraft bus are presented, the performance being equivalent to the level of the third generation meteorological satellites in Europe and USA. The acquiring methods of remote sensing data including multichannel and high precision quantitative observing, imaging collection of the ground and cloud, vertical observation of atmospheric temperature and moisture, lightning imaging observation and space environment detection are shown. Several innovative technologies including high accuracy rotation angle detection and scanning control, high precision calibration, micro vibration suppression, unified reference of platform and payload and on-orbit measurement, real-time image navigation and registration on-orbit were applied in FY-4.
基金Beijing You’an Hospital Affiliated to Capital Medical University Youth Talent Incubation Project(BJYAYYYN2022-25)
文摘Objective To explore the value of clinical application of a navigation system with three-dimensional(3D)imaging for thermal ablation of liver tumors.Methods The study cohort comprised 60 patients who underwent computer tomography-(CT)guided thermal ablation(radiofrequency or microwave ablation)of liver tumors in our department from August 2021 to October 2022.A random envelope method was used to allocate the study patients randomly to two groups of 30 patients each:a navigation and a control group.An intraoperative 3D imaging navigation system with CT guidance was used in the navigation group,whereas traditional CT guidance was used in the control group.During the thermal ablation process,the number of puncture needle adjustments,time to target puncture,and number of CT scans were recorded and compare between the two groups.Results The average number of punctures and needle adjustments was significantly lower in the navigation group(2.7±1.1 mins)than in the control group(4.9±3.7 mins).The average time taken to puncture the target was significantly shorter in the navigation group(11.3±4.2 mins)than in the control group(15.5±4.8 mins).There average number of CT scans was significantly smaller in the navigation group(4.5±1.6)than in the control group(8.4±4.5)(all P<0.05).Conclusion Use of an intraoperative 3D imaging navigation system in thermal ablation of liver tumors can improve the accuracy of tumor thermal ablation puncture and reduce the number of punctures,number of CT scans,and average puncture time.Such systems can play an important role in the clinic.
基金Supported by the National Natural Science Foundation of China(40275007,41275036,40971200,41075019,41275034,91338203,and 40705037)China Meteorological Administration Special Public Welfare Research Fund(GYHY201206002)+1 种基金Ministry of Finance(201306001)Ministry of Science and Technology of China(863-2003AA133050 and 2012AA120903)
文摘This study introduces some innovations in the data processing algorithm for Chinese FY meteorological satellites. Issues about satellite image navigation, radiation calibration, and data assimilation are discussed. A time series of the earth＇s disk center-line count provides information on the orientation of the satellite spin axis. With this information, the altitude parameters of the satellite and then the earth disk location in the south-north direction may be solved. In each spin cycle, the satellite views the sun and the earth. Given the satellite position and altitude, the angle （β） subtended at the satellite by the sun and the earth can be calculated and predicted. Thus, the earth＇s disk location in the east-west direction is fixed. Based on this principle, we derived an automatic image navigation algorithm for FY2 geosynchronous meteorological satellites with an accuracy approaching pixel level. The FY2 meteorological satellite traveling in a geostationary orbit suffers a large amount of radiation from the sun. The radiation varies on both diurnal and annual scales, which causes radiation responses in the thermal infrared （IR） bands wherein the wavelengths greater than 3.5 μm vibrate periodically on scales of hours to years. These vibrations must be precisely calibrated. First, based on the accurate estimation of the radiant contribution from the front-optics, the variation characteristics of the calibration parameters are obtained on a temporal scale of hours from the space-borne inner-blackbody （IBB） measurement results. Second, the in-orbit measured radiation of the lunar surface is referenced and utilized to correct the sys- tematic bias of the IBB calibration from daily to annual scales. By using such algorithms, we achieved a calibration accuracy of the FY2 satellite＇s IR imagery of less than 1 K. The on-orbit satellite instrument parameters play an important role in data quality; however, they may be mis-measured due to limitations in the measurement conditions or may be changed due to the space environment after launch. A satellite instrument parameters on-orbit optimizer （SIPOn-Opt） for a polar orbit meteorological satellite was developed to optimize the true state of the instrument parameters on-orbit with regard to the observation constraints. When applying the SIPOn-Opt to FY3 sounding instruments, the FY3 data quality was much improved, compared to its European and the U.S. polar orbit meteorological satellite counterparts, leading to improved forecast skill of numerical weather prediction.
