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Ultracold atomic absorption imaging system in high magnetic fields
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作者 Yuying Chen Zhengxi Zhang +3 位作者 Hongmian Shui Yun Liang Fansu Wei Xiaoji Zhou 《Chinese Physics B》 2025年第5期370-377,共8页
Absorption imaging is a fundamental technique for quantitatively extracting information from ultracold atom experiments.Since ultracold^(6)Li atoms are prepared and detected under high magnetic fields,the suitable det... Absorption imaging is a fundamental technique for quantitatively extracting information from ultracold atom experiments.Since ultracold^(6)Li atoms are prepared and detected under high magnetic fields,the suitable detuning of the probe light can reach the GHz level compared to zero-field imaging.Therefore,based on the energy level structure of^(6)Li atoms and the requirements of subsequent experiments,we design a high-field imaging system with a large frequency range and good robustness,starting from the rationality of the optical layout design and employing offset locking techniques.This imaging system covers the entire crossover region from Bose–Einstein condensate to Bardeen–Cooper–Schrieffer(BEC–BCS)and realizes free switching between zero-field and high-field imaging.Additionally,by introducing a proportionality coefficient to correct for the intensity fluctuations of the probe light,we mitigate its disturbance on the statistical measurement of particle numbers in the experiment.This work not only provides a design reference for other quantum gas experiments requiring absorption imaging under strong bias magnetic fields,but also serves as an important reference for improving the imaging performance. 展开更多
关键词 absorption imaging high field imaging offset locking light intensity correction
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High-resolution imaging of magnetic fields of banknote anti-counterfeiting strip using fiber diamond probe
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作者 赵旭彤 何飞越 +5 位作者 薛雅文 马文豪 殷筱晗 夏圣开 曾明菁 杜关祥 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第4期720-727,共8页
Counterfeiting of modern banknotes poses a significant challenge,prompting the use of various preventive measures.One such measure is the magnetic anti-counterfeiting strip.However,due to its inherent weak magnetic pr... Counterfeiting of modern banknotes poses a significant challenge,prompting the use of various preventive measures.One such measure is the magnetic anti-counterfeiting strip.However,due to its inherent weak magnetic properties,visualizing its magnetic distribution has been a longstanding challenge.In this work,we introduce an innovative method by using a fiber optic diamond probe,a highly sensitive quantum sensor designed specifically for detecting extremely weak magnetic fields.We employ this probe to achieve high-resolution imaging of the magnetic fields associated with the RMB 50denomination anti-counterfeiting strip.Additionally,we conduct computer simulations by using COMSOL Multiphysics software to deduce the potential geometric characteristics and material composition of the magnetic region within the anti-counterfeiting strip.The findings and method presented in this study hold broader significance,extending the RMB 50 denomination to various denominations of the Chinese currency and other items that employ magnetic anti-counterfeiting strips.These advances have the potential to significantly improve and promote security measures in order to prevent the banknotes from being counterfeited. 展开更多
关键词 banknote anti-counterfeiting strip nitrogen-vacancy(NV)centers magnetic field imaging numerical simulation
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Magnetic resonance imaging bias field correction improves tumor prognostic evaluation after transcatheter arterial chemoembolization for liver cancer 被引量:1
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作者 Ke Liu Jun-Biao Li +1 位作者 Yong Wang Yan Li 《World Journal of Gastrointestinal Surgery》 2025年第4期207-220,共14页
BACKGROUND Transcatheter arterial chemoembolization(TACE)is a key treatment approach for advanced invasive liver cancer(infiltrative hepatocellular carcinoma).However,its therapeutic response can be difficult to evalu... BACKGROUND Transcatheter arterial chemoembolization(TACE)is a key treatment approach for advanced invasive liver cancer(infiltrative hepatocellular carcinoma).However,its therapeutic response can be difficult to evaluate accurately using conventional two-dimensional imaging criteria due to the tumor’s diffuse and multifocal growth pattern.Volumetric imaging,especially enhanced tumor volume(ETV),offers a more comprehensive assessment.Nonetheless,bias field inhomogeneity in magnetic resonance imaging(MRI)poses challenges,potentially skewing volumetric measurements and undermining prognostic evaluation.AIM To investigate whether MRI bias field correction enhances the accuracy of volumetric assessment of infiltrative hepatocellular carcinoma treated with TACE,and to analyze how this improved measurement impacts prognostic prediction.METHODS We retrospectively collected data from 105 patients with invasive liver cancer who underwent TACE treatment at the Affiliated Hospital of Xuzhou Medical University from January 2020 to January 2024.The improved N4 bias field correction algorithm was applied to process MRI images,and the ETV before and after treatment was calculated.The ETV measurements before and after correction were compared,and their relationship with patient prognosis was analyzed.A Cox proportional hazards model was used to evaluate prognostic factors,with Martingale residual analysis determining the optimal cutoff value,followed by survival analysis.RESULTS Bias field correction significantly affected ETV measurements,with the corrected baseline ETV mean(505.235 cm^(3))being significantly lower than before correction(825.632 cm^(3),P<0.001).Cox analysis showed that the hazard ratio(HR)for corrected baseline ETV(HR=1.165,95%CI:1.069-1.268)was higher than before correction(HR=1.063,95%CI:1.031-1.095).Using 412 cm^(3) as the cutoff,the group with baseline ETV<415 cm^(3) had a longer median survival time compared to the≥415 cm^(3) group(18.523 months vs 8.926 months,P<0.001).The group with an ETV reduction rate≥41%had better prognosis than the<41%group(17.862 months vs 9.235 months,P=0.006).Multivariate analysis confirmed that ETV reduction rate(HR=0.412,P<0.001),Child-Pugh classification(HR=0.298,P<0.001),and Barcelona Clinic Liver Cancer stage(HR=0.578,P=0.045)were independent prognostic factors.CONCLUSION Volume imaging based on MRI bias field correction can improve the accuracy of evaluating the efficacy of TACE treatment for invasive liver cancer.The corrected ETV and its reduction rate can serve as independent indicators for predicting patient prognosis,providing important reference for developing individualized treatment strategies. 展开更多
关键词 Invasive liver cancer Transcatheter arterial chemoembolization Magnetic resonance imaging Bias field correction Volume imaging
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Fault diagnosis of three-phase inverter based on GAF-CNN
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作者 DONG Weiguang LU Haobo LI Shengchang 《Journal of Measurement Science and Instrumentation》 2025年第3期456-463,共8页
To apply the advantages of deep learning in recognizing two-dimensional(2D)images to three-phase inverter fault diagnosis,a threephase inverter fault diagnosis model based on gramian angular field(GAF)combined with co... To apply the advantages of deep learning in recognizing two-dimensional(2D)images to three-phase inverter fault diagnosis,a threephase inverter fault diagnosis model based on gramian angular field(GAF)combined with convolutional neural network(CNN)was proposed.Since the current signals of the inverter in different working states are different,the images formed by the time series encoding are also different,which enables the image recognition technology to be used for time series classification to identify the fault current signal of the inverter.Firstly,the one-dimensional(1D)inverter fault current signal was converted into a 2D image through the GAF.Next,the CNN model suitable for inverter fault diagnosis was input to realize the detection,classification and location of inverter fault.The simulation results show that the recognition accuracy of this method is 99.36%under different noisy data.Compared with other traditional methods,it has higher accuracy and reliability,and stronger anti-noise interference capability and robustness in dealing with noisy data.Therefore,it is an effective fault diagnosis method for inverters. 展开更多
关键词 fault diagnosis gramian angular field(gaf) convolutional neural network(CNN) anti-noise interference ROBUSTNESS
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Impact of free electron laser coherence on imaging quality
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作者 Shuang Wei Shuang Gong +1 位作者 Yang Bu Zi-Jian Song 《Chinese Physics B》 2025年第5期385-397,共13页
The high temporal and spatial coherence of free electron lasers(FELs)reduces the uniformity of the illumination field,leading to scattering effects that blur the edges of patterns,resulting in diminished accuracy and ... The high temporal and spatial coherence of free electron lasers(FELs)reduces the uniformity of the illumination field,leading to scattering effects that blur the edges of patterns,resulting in diminished accuracy and clarity.Traditional imaging models regard the light source as fully incoherent,making it difficult to assess the impact of partially coherent light fields on imaging.If FELs are used in imaging systems,their coherence must be considered.To address this issue,this study explores the relationship between coherence,imaging quality and speckle contrast through a simulation method based on random phases.The method divides the light beam into temporal and spatial coherence cells,analyzes their interactions,and simulates imaging results under different coherence conditions.Additionally,speckle patterns for various illumination modes are calculated to evaluate their effects on speckle contrast and illumination uniformity.The results indicate that under different illumination modes,illumination uniformity decreases as coherence increases,while speckle contrast increases with higher coherence.In terms of imaging quality,higher coherence leads to an increase in both line edge roughness(LER)and line width roughness(LWR),thereby reducing the imaging quality.Additionally,the narrower the line width,the greater the impact of coherence on the imaging quality,resulting in poorer imaging performance. 展开更多
关键词 free electron laser COHERENCE imaging speckle contrast field uniformity
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Numerical design of transverse gradient coil with transformed magnetic gradient field over an effective imaging area
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作者 Chaoqun Niu Hongyi Qu 《Magnetic Resonance Letters》 2025年第1期40-51,共12页
Gradient coil is an essential component of a magnetic resonance imaging(MRI)scanner.To achieve high spatial resolution and imaging speed,a high-efficiency gradient coil with high slew rate is required.In consideration... Gradient coil is an essential component of a magnetic resonance imaging(MRI)scanner.To achieve high spatial resolution and imaging speed,a high-efficiency gradient coil with high slew rate is required.In consideration of the safety and comfort of the patient,the mechanical stability,acoustic noise and peripheral nerve stimulation(PNS)are also need to be concerned for practical use.In our previous work,a high-efficiency whole-body gradient coil set with a hybrid cylindrical-planar structure has been presented,which offers significantly improved coil performances.In this work,we propose to design this transverse gradient coil system with transformed magnetic gradient fields.By shifting up the zero point of gradient fields,the designed new Y-gradient coil could provide enhanced electromagnetic performances.With more uniform coil winding arrangement,the net torque of the new coil is significantly reduced and the generated sound pressure level(SPL)is lower at most tested frequency bands.On the other hand,the new transverse gradient coil designed with rotated magnetic gradient fields produces considerably reduced electric field in the human body,which is important for the use of rapid MR sequences.It's demonstrated that a safer and patient-friendly design could be obtained by using transformed magnetic gradient fields,which is critical for practical use. 展开更多
关键词 Magnetic resonance imaging(MRI) Gradient coil Transformed magnetic gradient field Acoustic noise Induced electric field
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Fourier lightfield multiview stereoscope for large field-of-view 3D imaging in microsurgical settings
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作者 Clare B.Cook Kevin C.Zhou +8 位作者 Martin Bohlen Mark Harfouche Kanghyun Kim Paul Reamey Julia S.Foust Gregor Horstmeyer Ramana Balla Amey Chaware Roarke Horstmeyer 《Advanced Photonics Nexus》 2025年第4期74-88,共15页
We present the Fourier lightfield multiview stereoscope(FiLM-Scope).This imaging device combines concepts from Fourier lightfield microscopy and multiview stereo imaging to capture high-resolution 3D videos over large... We present the Fourier lightfield multiview stereoscope(FiLM-Scope).This imaging device combines concepts from Fourier lightfield microscopy and multiview stereo imaging to capture high-resolution 3D videos over large fields of view.The FiLM-Scope optical hardware consists of a multicamera array,with 48 individual microcameras,placed behind a high-throughput primary lens.This allows the FiLM-Scope to simultaneously capture 48 unique 12.8 megapixel images of a 28×37 mm field-of-view,from unique angular perspectives over a 21 deg×29 deg range,with down to 22μm lateral resolution.We also describe a self-supervised algorithm to reconstruct 3D height maps from these images.Our approach demonstrates height accuracy down to 11μm.To showcase the utility of our system,we perform tool tracking over the surface of an ex vivo rat skull and visualize the 3D deformation in stretching human skin,with videos captured at up to 100 frames per second.The FiLM-Scope has the potential to improve 3D visualization in a range of microsurgical settings. 展开更多
关键词 3D imaging Fourier light field camera array
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基于GAF-CNN的船用空压机故障噪声诊断方法
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作者 董明 崔德馨 李祥林 《船舶》 2025年第1期106-114,共9页
船用空压机工作环境恶劣,内外激励源众多,采集的噪声信号具有强烈的时变性,会导致故障诊断精度较低,难以实现船用空压机各类故障的有效识别。为此,该文提出将格拉姆角场(Gramian angular field,GAF)编码和卷积神经网络(convolutional ne... 船用空压机工作环境恶劣,内外激励源众多,采集的噪声信号具有强烈的时变性,会导致故障诊断精度较低,难以实现船用空压机各类故障的有效识别。为此,该文提出将格拉姆角场(Gramian angular field,GAF)编码和卷积神经网络(convolutional neural network,CNN)法相结合的故障诊断方法。首先,阐述了GAF和CNN的基本原理、方法和实施步骤;然后,通过试验模拟了船用空压机的各类故障,并采集相应噪声信号,再利用GAF将一维时域信号转换为二维图像,将特征信息映射为二维图像的颜色、点等纹理特征;最后,将二维图像输入至CNN中进行特征提取和故障诊断。试验结果表明:在保证运行效率的前提下,该方法能够有效识别船用空压机的各类故障,诊断精度达到99.2%,优于其他算法,可为船舶故障智能诊断的应用提供了新途径和新思路。 展开更多
关键词 船用空压机 噪声分析 格拉姆角场 卷积神经网络 故障诊断
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基于改进的GAF算法的EEG情感识别 被引量:1
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作者 王星星 邵杰 +2 位作者 陈鑫 杨世逸林 杨鑫 《计算机技术与发展》 2024年第5期109-116,共8页
利用脑电图(EEG)信号对人类的情感进行识别一直是一个重要且具有挑战性的研究领域。传统的方法都是对一维EEG信号进行分析,然后提取特征进行识别;但这种方法需要提取许多时域或频域上的特征才能取得较好的识别效果。考虑到二维图像蕴含... 利用脑电图(EEG)信号对人类的情感进行识别一直是一个重要且具有挑战性的研究领域。传统的方法都是对一维EEG信号进行分析,然后提取特征进行识别;但这种方法需要提取许多时域或频域上的特征才能取得较好的识别效果。考虑到二维图像蕴含的信息要远远比一维信号蕴含的信息丰富,因此将一维信号转换成二维图像可以提取更加有效的特征进行识别。为此,该文提出了一种基于改进的Gramian Angular Field(GAF)算法的EEG情感识别方法。首先,从EEG信号中提取alpha、beta、gama三个频段的子带信号;然后,提出了一种基于马氏距离加权的改进GAF算法将一维EEG信号转换成二维特征图像;接着,从二维图像中提取奇异值熵、图能量等特征;最后,利用卷积神经网络(CNN)对提取的EEG特征进行分类识别。基于广泛使用的DEAP数据集,针对四分类(HAHV、LAHV、LALV和HALV)情感识别任务,对该模型进行了验证。实验结果表明:所提算法的平均分类准确率达到92.63%,与现有的识别方法对比具有一定的优势。 展开更多
关键词 脑电图 情感识别 格拉姆角场 马氏距离 卷积神经网络
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结合GAF与CNN的操动机构弹簧储能状态智能辨识
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作者 施贻铸 满天雪 +3 位作者 周余庆 任燕 沈志煌 孙维方 《重庆大学学报》 CAS CSCD 北大核心 2024年第9期30-38,共9页
操动机构弹簧储能状态的鲁棒辨识对断路器服役性能有重要影响,如何建立起采样信号与弹簧储能状态之间的映射关系是制约其广泛应用的关键。针对这一问题,结合格拉姆角场(Gramian angular field,GAF)与卷积神经网络(convolutional neural ... 操动机构弹簧储能状态的鲁棒辨识对断路器服役性能有重要影响,如何建立起采样信号与弹簧储能状态之间的映射关系是制约其广泛应用的关键。针对这一问题,结合格拉姆角场(Gramian angular field,GAF)与卷积神经网络(convolutional neural network,CNN),提出了一种弹簧储能状态智能辨识方法,并成功应用于断路器操动机构。采用格拉姆角场将采集到的时域信号进行二维化处理,并利用其进行操动机构动态特性演化过程的追踪。断路器操动机构状态辨识实验验证了所提出的智能诊断方法有效性(识别成功率接近100.00%),为断路器在役状态的鲁棒识别提供一种可能。 展开更多
关键词 断路器 卷积神经网络 弹簧储能状态 格拉姆角场
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Modified Maximum Likelihood Estimation of the Spatial Resolution for the Elliptical Gamma Camera SPECT Imaging Using Binary Inhomogeneous Markov Random Fields Models
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作者 Stelios Zimeras 《Advances in Computed Tomography》 2013年第2期68-75,共8页
In this work a complete approach for estimation of the spatial resolution for the gamma camera imaging based on the [1] is analyzed considering where the body distance is detected (close or far way). The organ of inte... In this work a complete approach for estimation of the spatial resolution for the gamma camera imaging based on the [1] is analyzed considering where the body distance is detected (close or far way). The organ of interest most of the times is not well defined, so in that case it is appropriate to use elliptical camera detection instead of circular. The image reconstruction is presented which allows spatially varying amounts of local smoothing. An inhomogeneous Markov random field (M.r.f.) model is described which allows spatially varying degrees of smoothing in the reconstructions and a re-parameterization is proposed which implicitly introduces a local correlation structure in the smoothing parameters using a modified maximum likelihood estimation (MLE) denoted as one step late (OSL) introduced by [2]. 展开更多
关键词 MARKOV Random fields INHOMOGENEOUS MODELS Image RECONSTRUCTIONS Single PHOTON Emission
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A large language model-powered literature review for high-angle annular dark field imaging
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作者 Wenhao Yuan Cheng Peng Qian He 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第9期76-81,共6页
High-angle annular dark field(HAADF)imaging in scanning transmission electron microscopy(STEM)has become an indispensable tool in materials science due to its ability to offer sub-°A resolution and provide chemic... High-angle annular dark field(HAADF)imaging in scanning transmission electron microscopy(STEM)has become an indispensable tool in materials science due to its ability to offer sub-°A resolution and provide chemical information through Z-contrast.This study leverages large language models(LLMs)to conduct a comprehensive bibliometric analysis of a large amount of HAADF-related literature(more than 41000 papers).By using LLMs,specifically ChatGPT,we were able to extract detailed information on applications,sample preparation methods,instruments used,and study conclusions.The findings highlight the capability of LLMs to provide a new perspective into HAADF imaging,underscoring its increasingly important role in materials science.Moreover,the rich information extracted from these publications can be harnessed to develop AI models that enhance the automation and intelligence of electron microscopes. 展开更多
关键词 large language models high-angle annular dark field imaging deep learning
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基于图像化特征提取和双层特征优选的变压器故障诊断 被引量:1
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作者 王凌云 李冉 +2 位作者 杨波 李婷宜 李振华 《信息与控制》 北大核心 2025年第3期442-452,共11页
针对变压器故障特征选取尚无统一标准且冗余特征降低其故障诊断性能的问题,提出了一种图像化特征提取与双层特征优选的变压器故障诊断方法。首先,以油中溶解气体为研究对象,采用格拉姆角场(Gramian angular field,GAF)方法实现气体浓度... 针对变压器故障特征选取尚无统一标准且冗余特征降低其故障诊断性能的问题,提出了一种图像化特征提取与双层特征优选的变压器故障诊断方法。首先,以油中溶解气体为研究对象,采用格拉姆角场(Gramian angular field,GAF)方法实现气体浓度的图像化,并使用图像处理方法平衡样本数据。其次,利用VGG16(visual geometry group 16)算法进行GAF图像特征参数的迁移,建立能自动提取特征的故障诊断模型。最后,综合考虑重要性评分与相关系数,改进随机森林特征选择算法,从非重要性特征中筛选潜在重要特征,构建双层特征优选模型,以进一步提升变压器故障诊断性能。为验证本文所提特征工程的有效性,分别使用线性回归、支持向量机、多层感知机以及随机梯度下降四种分类器对变压器故障加以诊断。实验结果表明,相较传统方法构建特征,利用图像化能够有效提取故障特征,特征经双层优选后,变压器故障模型诊断准确率分别提高4.27%、12.2%、6.1%、10.97%,F1分数分别提高4.53%、12.55%、6.08%、11.1%,所建模型对变压器运行状态实现了更为精准地辨识。 展开更多
关键词 变压器 故障诊断 格拉姆角场(gaf) VGG16网络 双层特征优选
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基于永磁体和线圈复合结构的磁性粒子成像零磁场研究 被引量:3
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作者 杨丹 刘素羽 +2 位作者 张昊 李天兆 徐彬 《电工技术学报》 北大核心 2025年第2期335-345,共11页
磁性粒子成像(MPI)中的磁场拓扑结构及其产生的零磁场能够直接对成像结果的质量造成影响。针对MPI系统的零磁场设计,该文提出一种永磁体与线圈复合的磁场结构。该结构综合永磁体能够直接产生大梯度静磁场的优势及电磁线圈通过控制激励... 磁性粒子成像(MPI)中的磁场拓扑结构及其产生的零磁场能够直接对成像结果的质量造成影响。针对MPI系统的零磁场设计,该文提出一种永磁体与线圈复合的磁场结构。该结构综合永磁体能够直接产生大梯度静磁场的优势及电磁线圈通过控制激励方式精准调控磁场的优势来构造线型零磁场(FFL)。对所设计的磁场拓扑结构首先进行了基于圆形线圈、矩形线圈和矩形永磁体所产生静磁场的比较;然后从磁场空间分布、磁场梯度和磁场均匀性等方面对FFL进行分析;最后通过有限元仿真确定了线型零磁场的平移扫描区域范围,并进行了MPI分辨率及血管成像研究。结果表明,该文所提拓扑结构产生的FFL磁场梯度达到3.075 T/m,磁场梯度均匀性达到98.7%,在扫描区域为30 mm×70 mm×70 mm的空间内的成像分辨率能够达到1 mm。证明了该文所提拓扑结构应用于磁性粒子成像系统的可行性。 展开更多
关键词 磁性粒子成像 永磁体与线圈复合 线型零磁场 磁场梯度 磁场均匀性
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Metamaterial-enhanced magnetic resonance imaging:a review
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作者 Zhiwei Guo Yang Xu +3 位作者 Shengyu Hu Yuqian Wang Yong Sun Hong Chen 《Advanced Photonics Nexus》 2024年第5期1-20,共20页
Magnetic resonance imaging(MRI),as a noninvasive and powerful method in modern diagnostics,has been advancing in leaps and bounds.Conventional methods to improve MRI based on increasing the static magnetic field stren... Magnetic resonance imaging(MRI),as a noninvasive and powerful method in modern diagnostics,has been advancing in leaps and bounds.Conventional methods to improve MRI based on increasing the static magnetic field strength are restricted by safety concerns,cost issues,and the impact on patient experience;as such,innovative approaches are required.It has been suggested that metamaterials featuring subwavelength unit cells can be used to take full control of electromagnetic waves and redistribute electromagnetic fields,achieve abundant counterintuitive phenomena,and construct versatile devices.Recently,metamaterials with exotic effective electromagnetic parameters,peculiar dispersion relations,or tailored field distribution of resonant modes have shown promising capabilities in MRI.Herein,we outline the principle of the MRI process,review recent advances in enhancing MRI by employing the unique physical mechanisms of metamaterials,and demystify ways in which metamaterial designs could improve MRI,such as by enhancing the imaging quality,reducing the scanning time,alleviating field inhomogeneities,and increasing patient safety.We conclude by providing our vision for the future of improving MRI with metamaterials. 展开更多
关键词 METAMATERIALS magnetic resonance imaging radio-frequency magnetic field effective parameters dispersion relations resonant modes
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基于多源遥感NDVI时序曲线特征的田区尺度冬小麦物候期提取 被引量:2
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作者 张晓春 况梦柯 +2 位作者 史良胜 钟立傲 易鸣 《农业工程学报》 北大核心 2025年第1期181-191,共11页
冬小麦是中国北方地区主要的粮食作物。物候是随季节变化的特定生命周期事件,准确获取区域冬小麦物候期对指导粮食作物生产具有重要意义。传统的物候期监测方法主要基于野外实地观测,在时间和空间范围上存在局限性。遥感技术的发展使得... 冬小麦是中国北方地区主要的粮食作物。物候是随季节变化的特定生命周期事件,准确获取区域冬小麦物候期对指导粮食作物生产具有重要意义。传统的物候期监测方法主要基于野外实地观测,在时间和空间范围上存在局限性。遥感技术的发展使得长时间、大范围的冬小麦物候监测成为可能。目前遥感物候监测结果是以像元为单位空间分辨率较低的栅格影像,而以田区地块为单元的物候期图更符合实际作物生长状况。为了提高物候期分布图的空间分辨率和精度,并获取田区尺度冬小麦物候期图,该研究首先基于多源高时空分辨率遥感数据建立时间上非均匀的NDVI影像数据集(2017年9月—2023年7月),然后基于插值法获取均匀的每日NDVI数据集,并通过SG滤波重构获取能够反映冬小麦真实生长状态的NDVI时序曲线。最后基于冬小麦NDVI时序曲线特征与物候特征对应关系,采用极值法和动态阈值法提取了生长季开始期(播种)、峰值期(抽穗)、成熟期和结束期4种物候期的栅格影像,并将像元尺度的物候期结果转为田区尺度。结果显示:2017—2018年度冬小麦播种期晚于其他5年;2019—2020年度和2020—2021年度抽穗期明显早于其他4年;2019—2020年度冬小麦成熟时间早于其他5年,同时该年度生长季结束期也早于其他5年。通过验证对比发现遥感物候期结果与田间数据和其他物候研究结果一致,满足物候期县域田区尺度提取的需求。进一步讨论冬小麦遥感抽穗期结果与气候变化响应,发现抽穗期与当年气温、降水量和日照时数关系密切。研究综合运用高分一号、环境二号、Landsat-8和哨兵二号多源光学遥感影像,准确提取了6年冬小麦田区尺度物候期的空间分布图,可为监测冬小麦生长发育状态提供科学依据。 展开更多
关键词 归一化植被指数 遥感 物候期 冬小麦 多源遥感影像 田区尺度
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上下文感知多感受野融合网络的定向遥感目标检测 被引量:1
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作者 姚婷婷 肇恒鑫 +1 位作者 冯子豪 胡青 《电子与信息学报》 北大核心 2025年第1期233-243,共11页
以广距鸟瞰视角拍摄获取的遥感图像通常具有目标种类多、尺度变化大以及背景信息丰富等特点,为目标检测任务带来巨大挑战。针对遥感图像成像特点,该文设计一种上下文感知多感受野融合网络,通过充分挖掘深度网络中遥感图像在不同尺寸特... 以广距鸟瞰视角拍摄获取的遥感图像通常具有目标种类多、尺度变化大以及背景信息丰富等特点,为目标检测任务带来巨大挑战。针对遥感图像成像特点,该文设计一种上下文感知多感受野融合网络,通过充分挖掘深度网络中遥感图像在不同尺寸特征描述下所包含的上下文关联信息,提高图像特征描述力,进而提升遥感目标检测精度。首先,在特征金字塔前4层网络中构建了感受野扩张模块,通过扩大网络在不同尺度特征图上的感受野范围,增强网络对不同尺度遥感目标的感知能力;进一步,构建了高层特征聚合模块,通过将特征金字塔网络中高层语义信息聚合到低层特征中,从而将特征图中所包含的多尺度上下文信息进行有效融合;最后,在双阶段定向目标检测框架下设计了特征细化区域建议网络。通过对一阶段提案进行精细化处理,提升提案准确性,进而提高二阶段兴趣区域对齐网络得到的不同成像方向下的遥感目标检测性能。在公测数据集DIOR-R和HRSC2016上的定性和定量的对比实验结果证明,所提方法对不同种类和尺度大小的遥感目标均能实现更加准确的检测。 展开更多
关键词 遥感图像 深度学习 目标检测 多感受野融合
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融合聚类特征的改进MRF轨面缺陷分割方法 被引量:1
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作者 闵永智 刘洋 《北京航空航天大学学报》 北大核心 2025年第6期1863-1872,共10页
针对轨面缺陷样本数量少、种类多的特点,以及在真实场景下存在迁移学习效果不稳定、阈值分割易受环境因素影响的问题,提出一种零样本的改进马尔可夫随机场轨面缺陷分割方法。对采集的数据使用Gabor函数进行处理,突出缺陷特征,降低数据维... 针对轨面缺陷样本数量少、种类多的特点,以及在真实场景下存在迁移学习效果不稳定、阈值分割易受环境因素影响的问题,提出一种零样本的改进马尔可夫随机场轨面缺陷分割方法。对采集的数据使用Gabor函数进行处理,突出缺陷特征,降低数据维度,得到降维特征图;对处理后的特征图进行Kmeans聚类,缩减数据分布,降低反光和阴影的影响,并将聚类结果作为预分类矩阵;通过降维特征图和预分类矩阵构建改进马尔可夫随机场(MRF)双层图模型,并进行推理;根据模型推理出的预分类矩阵特征值来分析缺陷部分的局部几何结构;标记出缺陷区域,并完成缺陷分割。使用自采样数据集进行对比实验和消融实验,结果表明:所提方法在自采样数据集上的像素准确率、平均像素准确率、加权交并比、均交并比分别达到93.6%、80.7%、89.4%、68.2%,超过对比检测方法精度。 展开更多
关键词 图像处理 轨面缺陷 马尔可夫随机场 概率图模型 实例分割
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考虑磁场均匀性优化的开放式磁粒子成像检测装置改进方法 被引量:1
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作者 汤云东 丁宇彬 金涛 《电工技术学报》 北大核心 2025年第6期1718-1728,共11页
磁粒子成像(MPI)利用检测装置感应可视场内不同位置处磁纳米粒子(MNPs)的非线性磁化响应,并基于所获得的检测信号重建MNPs浓度分布。该文基于激励与接收线圈磁场强度对检测信号的影响,论证了X-space和投影重建成像算法中MPI检测装置磁... 磁粒子成像(MPI)利用检测装置感应可视场内不同位置处磁纳米粒子(MNPs)的非线性磁化响应,并基于所获得的检测信号重建MNPs浓度分布。该文基于激励与接收线圈磁场强度对检测信号的影响,论证了X-space和投影重建成像算法中MPI检测装置磁场均匀性的重要性,继而提出一种由具有较高磁场均匀性的正方形亥姆霍兹线圈所构成的改进开放式检测装置。此外,在零磁场点和零磁场线扫描移动两种情况下,基于不同装置下均匀分布MNPs所获得的检测信号,评估了两种传统开放式检测装置和所提改进装置的检测效果。研究结果表明,所提改进开放式装置的检测结果相比两种传统开放式装置显著接近理想情况,进而也证实了检测装置磁场均匀性的重要性。此外,该文还发现在改进装置基础上采用二次谐波检测方法相较于三次谐波检测,可获得更佳的检测效果。 展开更多
关键词 磁粒子成像 开放式检测装置 检测信号 磁场均匀性 正方形亥姆霍兹线圈
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基于遥感影像的农田道路提取及秸秆收储站选址优化 被引量:1
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作者 陈理 马明旭 +4 位作者 韩毅 赖有春 李美华 刘海帆 周宇光 《农业工程学报》 北大核心 2025年第18期200-211,共12页
近年来遥感影像资源日益丰富,算力显著提升,对遥感影像语义分割得到的地物分类图更加精细。在农业领域,分析农田和道路分布特征信息,能够精确判断秸秆产量和农田道路分布数据,有利于科学合理制定收储运输路径规划。现有研究中利用深度... 近年来遥感影像资源日益丰富,算力显著提升,对遥感影像语义分割得到的地物分类图更加精细。在农业领域,分析农田和道路分布特征信息,能够精确判断秸秆产量和农田道路分布数据,有利于科学合理制定收储运输路径规划。现有研究中利用深度学习模型提取农田道路信息存在难度大等问题。该研究使用语义分割技术,开展遥感影像中农田道路信息提取研究,以影像提取的地物分类为依据,进行秸秆收储站选址优化研究。通过消融试验证明不对称融合非局部块AFNB(asymmetric fusion non-local block,AFNB)和双重注意力模块(structure of the dual attention module)均能对分割效果起到积极作用,二者叠加后的综合结果较原始网络模型道路交并比IoU-road、道路准确率Acc-road和平均交并比m IoU分别提高了5.20、7.78和2.73个百分点。利用类激活图分析,该模型显著提高了农田道路信息提取的准确性和效率,并在多个数据集上验证了其优越性,取得的mIoU最低可达68.98%。为验证改进DlinkNet模型在其他农村地区的泛化性,以河北省高邑县为例,完成农田道路提取任务并根据提取结果进行了分析。基于World Cover数据集,在Kmeans聚类算法的基础上进行了秸秆收储站选址优化研究,通过定义秸秆资源分布密度、城镇居民区、河流、湖泊和其他环境因素对村级秸秆回收站选址进行了优化,证明选址最优解可满足环境保护、秸秆资源和交通因素等要求,为后续秸秆收运路径优化研究奠定基础,从而构建秸秆收储运全流程优化体系。 展开更多
关键词 遥感影像 农田特征提取 道路信息 秸秆收储运 选址优化
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