Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490157
F. V. Leeuwen
New methods with higher sensitivity and specificity are required for effective image-guided surgery. We have developed a multimodal strategy that gives the same intraoperative detection accuracy as is currently achieved with common preoperative imaging procedures. Based on our own results with sentinel lymph node imaging and the use of bracketing marker seeds, the value of multimodal imaging approaches for a combined pre-and intraoperative application is evaluated.
{"title":"Evaluation of multimodal imaging approaches for combined pre- and intraoperative imaging in oncology","authors":"F. V. Leeuwen","doi":"10.1109/ISBI.2010.5490157","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490157","url":null,"abstract":"New methods with higher sensitivity and specificity are required for effective image-guided surgery. We have developed a multimodal strategy that gives the same intraoperative detection accuracy as is currently achieved with common preoperative imaging procedures. Based on our own results with sentinel lymph node imaging and the use of bracketing marker seeds, the value of multimodal imaging approaches for a combined pre-and intraoperative application is evaluated.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132832038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490324
Yangming Ou, A. Besbes, M. Bilello, Mohamed Mansour, C. Davatzikos, N. Paragios
In this paper, we present a framework for extracting mutually-salient landmark pairs for registration. Traditional methods detect landmarks one-by-one and separately in two images. Therefore, the detected landmarks might inherit low dis-criminability and are not necessarily good for matching. In contrast, our method detects landmarks pair-by-pair across images, and those pairs are required to be mutually-salient, i.e., uniquely corresponding to each other. The second merit of our framework is that, instead of finding individually optimal correspondence, which is a local approach and could cause self-intersection of the resultant deformation, our framework adopts a Markov-random-field (MRF)-based spatial arrangement to select the globally optimal landmark pairs. In this way, the geometric consistency of the correspondences is maintained and the resultant deformations are relatively smooth and topology-preserving. Promising experimental validation through a radiologist's evaluation of the established correspondences is presented.
{"title":"Detecting mutually-salient landmark pairs with MRF regularization","authors":"Yangming Ou, A. Besbes, M. Bilello, Mohamed Mansour, C. Davatzikos, N. Paragios","doi":"10.1109/ISBI.2010.5490324","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490324","url":null,"abstract":"In this paper, we present a framework for extracting mutually-salient landmark pairs for registration. Traditional methods detect landmarks one-by-one and separately in two images. Therefore, the detected landmarks might inherit low dis-criminability and are not necessarily good for matching. In contrast, our method detects landmarks pair-by-pair across images, and those pairs are required to be mutually-salient, i.e., uniquely corresponding to each other. The second merit of our framework is that, instead of finding individually optimal correspondence, which is a local approach and could cause self-intersection of the resultant deformation, our framework adopts a Markov-random-field (MRF)-based spatial arrangement to select the globally optimal landmark pairs. In this way, the geometric consistency of the correspondences is maintained and the resultant deformations are relatively smooth and topology-preserving. Promising experimental validation through a radiologist's evaluation of the established correspondences is presented.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117313069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490389
Hang Chang, B. Parvin
Membrane-bound macromolecules play an important role in tissue architecture and cell-cell communication, and is regulated by almost one-third of the genome. At the optical scale, one group of membrane proteins expresses themselves as linear structures along the cell surface boundaries, while others are sequestered. This paper targets the former group, whose intensity distributions are often heterogeneous and may lack specificity. Segmentation of the membrane protein enables the quantitative assessment of localization for comparative analysis. We introduce a three-step process to (i) regularize the membrane signal through iterative tangential voting, (ii) constrain the location of surface proteins by nuclear features, and (iii) assign membrane proteins to individual cells through an application of multi-phase geodesic level-set. We have validated our method against a dataset of 200 images, and demonstrated that multiphase level set has a superior performance compared to gradient vector flow snake.
{"title":"Multiphase level set for automated delineation of membrane-bound macromolecules","authors":"Hang Chang, B. Parvin","doi":"10.1109/ISBI.2010.5490389","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490389","url":null,"abstract":"Membrane-bound macromolecules play an important role in tissue architecture and cell-cell communication, and is regulated by almost one-third of the genome. At the optical scale, one group of membrane proteins expresses themselves as linear structures along the cell surface boundaries, while others are sequestered. This paper targets the former group, whose intensity distributions are often heterogeneous and may lack specificity. Segmentation of the membrane protein enables the quantitative assessment of localization for comparative analysis. We introduce a three-step process to (i) regularize the membrane signal through iterative tangential voting, (ii) constrain the location of surface proteins by nuclear features, and (iii) assign membrane proteins to individual cells through an application of multi-phase geodesic level-set. We have validated our method against a dataset of 200 images, and demonstrated that multiphase level set has a superior performance compared to gradient vector flow snake.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"18 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114067055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490218
Daniel Tenbrinck, M. Dawood, F. Gigengack, M. Fieseler, Xiaoyi Jiang, Klaus Schiifers
Motion correction in Positron Emission Tomography (PET) using optical flow estimation can lead to image artifacts due to Partial Volume Effects (PVE). These artifacts appear especially in cardiac gated PET images and cause blurred edges in the averaged gates. In this paper we propose a new method to motion correct PET images considering the PVE during optical flow estimation. For this purpose we introduce a local intensity correction algorithm and combine it with the optical flow computation in an iterative scheme. The results of our approach show a qualitative and quantitative improvement of the motion corrected PET gates in examinations of both human patients and laboratory mice for pre-clinical research.
{"title":"Motion correction in Positron Emission Tomography considering Partial Volume Effects in optical flow estimation","authors":"Daniel Tenbrinck, M. Dawood, F. Gigengack, M. Fieseler, Xiaoyi Jiang, Klaus Schiifers","doi":"10.1109/ISBI.2010.5490218","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490218","url":null,"abstract":"Motion correction in Positron Emission Tomography (PET) using optical flow estimation can lead to image artifacts due to Partial Volume Effects (PVE). These artifacts appear especially in cardiac gated PET images and cause blurred edges in the averaged gates. In this paper we propose a new method to motion correct PET images considering the PVE during optical flow estimation. For this purpose we introduce a local intensity correction algorithm and combine it with the optical flow computation in an iterative scheme. The results of our approach show a qualitative and quantitative improvement of the motion corrected PET gates in examinations of both human patients and laboratory mice for pre-clinical research.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"70 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120975490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/isbi.2010.5490228
Ju Han, Seema Singh, Lan Sun, B. Simmons, M. Auer, B. Parvin
This paper presents a computational framework for chemical profiling of the plant cell wall through the Raman spectroscopy. The system enables query of known spectral signatures and clustering of spectral data based on intrinsic properties. As a result, presence and relative concentration of specific chemical bonds can be quantified. The primary contribution of this paper is in representation of raman profile in terms of fluorescence background and multiscale peak detection at each grid point (voxel). Such a representation allows efficient spatial segmentation based on the coupling between high-level salient properties and low-level symbolic representation at each voxel. The high-level salient properties refer to preferred peaks and their attributes for the entire image. The low-level symbolic representations are based on fluorescence background, spectral peak locations, and their attributes. We present results on a corn stover tissue section that is imaged through Raman microscopy, and the results are consistent with the literature. In addition, automatic clustering indicates several distinct layers of the cell walls with different spectral signatures.
{"title":"Chemical profiling of the plant cellwall through Raman microspectroscopy","authors":"Ju Han, Seema Singh, Lan Sun, B. Simmons, M. Auer, B. Parvin","doi":"10.1109/isbi.2010.5490228","DOIUrl":"https://doi.org/10.1109/isbi.2010.5490228","url":null,"abstract":"This paper presents a computational framework for chemical profiling of the plant cell wall through the Raman spectroscopy. The system enables query of known spectral signatures and clustering of spectral data based on intrinsic properties. As a result, presence and relative concentration of specific chemical bonds can be quantified. The primary contribution of this paper is in representation of raman profile in terms of fluorescence background and multiscale peak detection at each grid point (voxel). Such a representation allows efficient spatial segmentation based on the coupling between high-level salient properties and low-level symbolic representation at each voxel. The high-level salient properties refer to preferred peaks and their attributes for the entire image. The low-level symbolic representations are based on fluorescence background, spectral peak locations, and their attributes. We present results on a corn stover tissue section that is imaged through Raman microscopy, and the results are consistent with the literature. In addition, automatic clustering indicates several distinct layers of the cell walls with different spectral signatures.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"61 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490082
Jean-Charles Baritaux, M. Unser
We propose new soft-prior approach for incorporating structural a priori in FDOT reconstruction. The technique is a non-linear regularization scheme based on the penalization of the (2, 1)-mixed norm. We solve the numerical reconstruction problem with an iterative thresholding-type algorithm. We present simulation results that demonstrate an improvement both in resolution and fluorophore concentration estimation, compared to prior-free approaches.
{"title":"A priori guided reconstruction for FDOT using mixed norms","authors":"Jean-Charles Baritaux, M. Unser","doi":"10.1109/ISBI.2010.5490082","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490082","url":null,"abstract":"We propose new soft-prior approach for incorporating structural a priori in FDOT reconstruction. The technique is a non-linear regularization scheme based on the penalization of the (2, 1)-mixed norm. We solve the numerical reconstruction problem with an iterative thresholding-type algorithm. We present simulation results that demonstrate an improvement both in resolution and fluorophore concentration estimation, compared to prior-free approaches.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117023298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490308
G. Gao, Phani Chinchapatnam, M. Wright, A. Arujuna, M. Ginks, C. Rinaldi, K. Rhode
In this paper we are proposing an MRI/CT-guided cardiac electroanatomical mapping system, EpreMap. EpreMap was developed as an extension to the guidance system developed at King's College London for cardiac electrophysiology procedures. This platform allows for both the registration of MRI/CT anatomical data to X-ray fluoroscopy and the determination of the catheter positions. EpreMap is a contact mapping system. By using a radial basis function (RBF) based scattered data interpolation algorithm, EpreMap can create a cardiac activation map for a whole chamber starting from five sampling points. The activation map is updated with every new measurement. Offline studies showed that cardiac activation maps created by using EpreMap were highly correlated with the maps created by using a non-contact mapping system. EpreMap was used in three clinical cases. The clinical studies proved the workflow of EpreMap was valid in the clinical environment. For one clinical case, the result of EpreMap was validated against a non-contact mapping system. Clinically significant regions identified by using the two mapping systems were strongly correlated.
{"title":"An MRI/CT-based cardiac electroanatomical mapping system with scattered data interpolation algorithm","authors":"G. Gao, Phani Chinchapatnam, M. Wright, A. Arujuna, M. Ginks, C. Rinaldi, K. Rhode","doi":"10.1109/ISBI.2010.5490308","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490308","url":null,"abstract":"In this paper we are proposing an MRI/CT-guided cardiac electroanatomical mapping system, EpreMap. EpreMap was developed as an extension to the guidance system developed at King's College London for cardiac electrophysiology procedures. This platform allows for both the registration of MRI/CT anatomical data to X-ray fluoroscopy and the determination of the catheter positions. EpreMap is a contact mapping system. By using a radial basis function (RBF) based scattered data interpolation algorithm, EpreMap can create a cardiac activation map for a whole chamber starting from five sampling points. The activation map is updated with every new measurement. Offline studies showed that cardiac activation maps created by using EpreMap were highly correlated with the maps created by using a non-contact mapping system. EpreMap was used in three clinical cases. The clinical studies proved the workflow of EpreMap was valid in the clinical environment. For one clinical case, the result of EpreMap was validated against a non-contact mapping system. Clinically significant regions identified by using the two mapping systems were strongly correlated.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114765082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490080
B. M. Eyüboğlu, V. Arpinar, R. Boyacioglu, E. Değirmenci, G. Eker
Several algorithms have been proposed for image reconstruction in MREIT. These algorithms reconstruct conductivity distribution either directly from magnetic flux density measurements or from reconstructed current density distribution. In this study, performance of all major algorithms are evaluated and compared on a common platform, in terms of their reconstruction error, reconstruction time, perceptual image quality, immunity against measurement noise, required electrode size. J-Substitution (JS) and Hybrid J-Substitution algorithms have the best reconstruction accuracy but they are among the slowest. Another current density based algorithm, Equipotential Projection (EPP) algorithm along with magnetic flux density based Bz Sensitivity (BzS) algorithm has moderate reconstruction accuracy. BzS algorithm is the fastest.
{"title":"Comparison of magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms","authors":"B. M. Eyüboğlu, V. Arpinar, R. Boyacioglu, E. Değirmenci, G. Eker","doi":"10.1109/ISBI.2010.5490080","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490080","url":null,"abstract":"Several algorithms have been proposed for image reconstruction in MREIT. These algorithms reconstruct conductivity distribution either directly from magnetic flux density measurements or from reconstructed current density distribution. In this study, performance of all major algorithms are evaluated and compared on a common platform, in terms of their reconstruction error, reconstruction time, perceptual image quality, immunity against measurement noise, required electrode size. J-Substitution (JS) and Hybrid J-Substitution algorithms have the best reconstruction accuracy but they are among the slowest. Another current density based algorithm, Equipotential Projection (EPP) algorithm along with magnetic flux density based Bz Sensitivity (BzS) algorithm has moderate reconstruction accuracy. BzS algorithm is the fastest.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114944389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490189
Joanna Klukowska, G. Herman, I. Kazantsev
We propose a method of correction for distance-dependent blurring, which is one of the limiting factors to achieving higher resolution in 3D reconstructions of biological specimens from 2D projections obtained by an electron microscope. Our proposed correction is based on the frequency-distance relation that has been used successfully in correction of a similar problem in single photon emission tomography and has been suggested for electron microscopy data obtained by rotating a sample around a single axis. We extend these approaches to electron microscopy data that are obtained from arbitrary directions. We develop the theoretical background for a correction method that results in an estimate of a true projection data set, which then can be used to obtain a 3D reconstruction by any currently existing algorithm.
{"title":"Correction of distance-dependent blurring in projection data for fully three-dimensional electron microscopic reconstruction","authors":"Joanna Klukowska, G. Herman, I. Kazantsev","doi":"10.1109/ISBI.2010.5490189","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490189","url":null,"abstract":"We propose a method of correction for distance-dependent blurring, which is one of the limiting factors to achieving higher resolution in 3D reconstructions of biological specimens from 2D projections obtained by an electron microscope. Our proposed correction is based on the frequency-distance relation that has been used successfully in correction of a similar problem in single photon emission tomography and has been suggested for electron microscopy data obtained by rotating a sample around a single axis. We extend these approaches to electron microscopy data that are obtained from arbitrary directions. We develop the theoretical background for a correction method that results in an estimate of a true projection data set, which then can be used to obtain a 3D reconstruction by any currently existing algorithm.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115238150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-04-14DOI: 10.1109/ISBI.2010.5490347
Philipp J. Stolka, Hyun-Jae Kang, M. Choti, E. Boctor
Handheld 2D ultrasound is very useful for intra-operative imaging, but requires some reconstruction effort in order to create 3D US volumes, unless one is using large and expensive 3D US probes. Unlike common probe tracking approaches involving either global or local tracking algorithms (suffering from jitter and complexity or from drift), we propose to use a combination of local sensors to reconstruct the probe trajectory with multiple degrees of freedom. The presented sensors are very low-cost- optical mice and a Wii Remote - yet enable flexible 3D US acquisition with no global tracking overhead. The resulting trajectories are then used as input for a dynamically expanding, pixel-nearest-neighbor 3D US volume reconstruction.
{"title":"Multi-DoF probe trajectory reconstruction with local sensors for 2D-to-3D ultrasound","authors":"Philipp J. Stolka, Hyun-Jae Kang, M. Choti, E. Boctor","doi":"10.1109/ISBI.2010.5490347","DOIUrl":"https://doi.org/10.1109/ISBI.2010.5490347","url":null,"abstract":"Handheld 2D ultrasound is very useful for intra-operative imaging, but requires some reconstruction effort in order to create 3D US volumes, unless one is using large and expensive 3D US probes. Unlike common probe tracking approaches involving either global or local tracking algorithms (suffering from jitter and complexity or from drift), we propose to use a combination of local sensors to reconstruct the probe trajectory with multiple degrees of freedom. The presented sensors are very low-cost- optical mice and a Wii Remote - yet enable flexible 3D US acquisition with no global tracking overhead. The resulting trajectories are then used as input for a dynamically expanding, pixel-nearest-neighbor 3D US volume reconstruction.","PeriodicalId":250523,"journal":{"name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121193481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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