Pub Date : 2009-06-28DOI: 10.1109/ISBI.2009.5193077
A. Akselrod-Ballin, David N. Bock, R. Reid, S. Warfield
In this paper we introduce a novel algorithm for alignment of Electron Microscopy images for 3D reconstruction. The algorithm extends the Expectation Maximization - Iterative Closest Points (EM-ICP) algorithm to go from point matching to patch matching. We utilize local patch characteristics to achieve improved registration. The method is applied to enable 3D reconstruction of Transmission Electron Microscopy (TEM) images. We demonstrate results on large TEM images and show the increased alignment accuracy of our approach.
{"title":"Improved registration for large electron microscopy images","authors":"A. Akselrod-Ballin, David N. Bock, R. Reid, S. Warfield","doi":"10.1109/ISBI.2009.5193077","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193077","url":null,"abstract":"In this paper we introduce a novel algorithm for alignment of Electron Microscopy images for 3D reconstruction. The algorithm extends the Expectation Maximization - Iterative Closest Points (EM-ICP) algorithm to go from point matching to patch matching. We utilize local patch characteristics to achieve improved registration. The method is applied to enable 3D reconstruction of Transmission Electron Microscopy (TEM) images. We demonstrate results on large TEM images and show the increased alignment accuracy of our approach.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114251227","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193023
F. Lijn, Marleen de Bruijne, Y. Y. Hoogendam, S. Klein, Reinhard Hameeteman, M. Breteler, W. Niessen
We propose a novel cerebellum segmentation method for MRI, based on a combination of statistical models of the structure's expected location in the brain and its local appearance. The appearance model is obtained from a k-nearest-neighbor classifier, which uses a set of multi-scale local image descriptors as features. The spatial model is constructed by registering multiple manually annotated datasets to the unlabeled target image. The two components are then combined in a Bayesian framework. The method is quantitatively validated in a leave-one-out experiment using 18 MR images of elderly subjects. The experiment showed that the method produces accurate segmentations. The mean Dice similarity index compared to the manual reference was 0.953 for left and right, and the mean surface distance was 0.49 mm for left and 0.50 mm for right. The combined atlas- and appearance-based method was found to be more accurate than a method based on atlas-registration alone.
{"title":"Cerebellum segmentation in MRI using atlas registration and local multi-scale image descriptors","authors":"F. Lijn, Marleen de Bruijne, Y. Y. Hoogendam, S. Klein, Reinhard Hameeteman, M. Breteler, W. Niessen","doi":"10.1109/ISBI.2009.5193023","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193023","url":null,"abstract":"We propose a novel cerebellum segmentation method for MRI, based on a combination of statistical models of the structure's expected location in the brain and its local appearance. The appearance model is obtained from a k-nearest-neighbor classifier, which uses a set of multi-scale local image descriptors as features. The spatial model is constructed by registering multiple manually annotated datasets to the unlabeled target image. The two components are then combined in a Bayesian framework. The method is quantitatively validated in a leave-one-out experiment using 18 MR images of elderly subjects. The experiment showed that the method produces accurate segmentations. The mean Dice similarity index compared to the manual reference was 0.953 for left and right, and the mean surface distance was 0.49 mm for left and 0.50 mm for right. The combined atlas- and appearance-based method was found to be more accurate than a method based on atlas-registration alone.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"428 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115648474","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193156
N. McDannold, L. Treat, N. Vykhodtseva, K. Hynynen
The major challenge to using therapeutic agents in the brain is the blood-brain barrier (BBB), a composite of endothelial structures that exclude over 98% of small-molecule drugs and almost 100% of large-molecule neurotherapeutics from being transmitted into the brain. Currently available approaches to circumvent the barrier are invasive, nontargeted, or require huge expense of developing complex new drug systems. We have developed a method where the BBB is temporarily disrupted in the focal zone of a focused ultrasound transducer using low-power ultrasound bursts combined with an injection of an ultrasound contrast agent that consists of preformed microbubbles. By systematically focusing at multiple overlapping locations, one could prescribe the region in which the BBB is disrupted to conform to a desired target volume, permitting the delivery of therapeutic agents and reducing drug penetration to the rest of the brain. Ultrasound parameters that appear to be optimal for this procedure are compatible with transcranial focused ultrasound exposures. Our previous investigation of this technique has shown that the BBB disruption can be achieved without any additional unwanted effects to the brain tissue. The exposures appear to activate both passive transport of agents through the tight junctions as well as active vesicular transport across the endothelial cells.
{"title":"Targeted drug delivery in the brain via ultrasound-induced blood-brain barrier disruption","authors":"N. McDannold, L. Treat, N. Vykhodtseva, K. Hynynen","doi":"10.1109/ISBI.2009.5193156","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193156","url":null,"abstract":"The major challenge to using therapeutic agents in the brain is the blood-brain barrier (BBB), a composite of endothelial structures that exclude over 98% of small-molecule drugs and almost 100% of large-molecule neurotherapeutics from being transmitted into the brain. Currently available approaches to circumvent the barrier are invasive, nontargeted, or require huge expense of developing complex new drug systems. We have developed a method where the BBB is temporarily disrupted in the focal zone of a focused ultrasound transducer using low-power ultrasound bursts combined with an injection of an ultrasound contrast agent that consists of preformed microbubbles. By systematically focusing at multiple overlapping locations, one could prescribe the region in which the BBB is disrupted to conform to a desired target volume, permitting the delivery of therapeutic agents and reducing drug penetration to the rest of the brain. Ultrasound parameters that appear to be optimal for this procedure are compatible with transcranial focused ultrasound exposures. Our previous investigation of this technique has shown that the BBB disruption can be achieved without any additional unwanted effects to the brain tissue. The exposures appear to activate both passive transport of agents through the tight junctions as well as active vesicular transport across the endothelial cells.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121051139","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193129
M. Eggen, C. Swingen, P. Iaizzo
The helical arrangement of cardiac myofibers is responsible for equalizing myofiber strain and maximizing the ejection fraction in a normal heart. In one form of chronic heart failure (CHF) known as dilated cardiomyopathy (DCM), the heart dilates, wall stress is increased, and ventricular pump function is reduced. We investigated whether myofiber orientation is altered in DCM by quantifying fiber orientation in excised human hearts using diffusion tensor MRI. Normal hearts (n=4) and failing hearts (n=4) were imaged in the plane of the cardiac short-axis at the base and mid-ventricular levels. There was a shift in the distribution of fiber inclination angles in the CHF hearts to a more oblique orientation at both the base and mid-ventricular levels. These preliminary results provide information about remodeling of the myocardial architecture in heart failure.
{"title":"Analysis of fiber orientation in normal and failing human hearts using diffusion tensor MRI","authors":"M. Eggen, C. Swingen, P. Iaizzo","doi":"10.1109/ISBI.2009.5193129","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193129","url":null,"abstract":"The helical arrangement of cardiac myofibers is responsible for equalizing myofiber strain and maximizing the ejection fraction in a normal heart. In one form of chronic heart failure (CHF) known as dilated cardiomyopathy (DCM), the heart dilates, wall stress is increased, and ventricular pump function is reduced. We investigated whether myofiber orientation is altered in DCM by quantifying fiber orientation in excised human hearts using diffusion tensor MRI. Normal hearts (n=4) and failing hearts (n=4) were imaged in the plane of the cardiac short-axis at the base and mid-ventricular levels. There was a shift in the distribution of fiber inclination angles in the CHF hearts to a more oblique orientation at both the base and mid-ventricular levels. These preliminary results provide information about remodeling of the myocardial architecture in heart failure.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122440729","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193199
Qi Zhang, R. Eagleson, T. Peters, James A. White
Procedural guidance using high-resolution, three-dimensional (3D) myocardial scar mapping may offer assistance in directing catheter ablation therapy aimed at eliminating re-entrant arrhythmic pathways. For the purpose of pre-procedural planning and intra-procedural guidance, determining the spatial relationship between myocardial scar, cardiac chambers and vascular structures is a crucial step towards the delivery of percutaneous, image-guided ablative therapies with minimal fluoroscopic support. An important part of such a procedure is the spatial structure display, during which the transfer function (TF) adjustment is a mandatory operation. However, the TF tuning is a time consuming process and it is still a challenge to achieve a uniform mapping rule for creating an optimized visual result. In this paper, we propose several image processing algorithms and a new two-level TF based classification technique to address this problem. Our method improves the user performance and the visual uniformity of the resultant cardiac images.
{"title":"A two-level transfer function based method for heart display with vascular tissue and scar enhancement","authors":"Qi Zhang, R. Eagleson, T. Peters, James A. White","doi":"10.1109/ISBI.2009.5193199","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193199","url":null,"abstract":"Procedural guidance using high-resolution, three-dimensional (3D) myocardial scar mapping may offer assistance in directing catheter ablation therapy aimed at eliminating re-entrant arrhythmic pathways. For the purpose of pre-procedural planning and intra-procedural guidance, determining the spatial relationship between myocardial scar, cardiac chambers and vascular structures is a crucial step towards the delivery of percutaneous, image-guided ablative therapies with minimal fluoroscopic support. An important part of such a procedure is the spatial structure display, during which the transfer function (TF) adjustment is a mandatory operation. However, the TF tuning is a time consuming process and it is still a challenge to achieve a uniform mapping rule for creating an optimized visual result. In this paper, we propose several image processing algorithms and a new two-level TF based classification technique to address this problem. Our method improves the user performance and the visual uniformity of the resultant cardiac images.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122488221","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193000
Yalin Wang, Jie Zhang, T. Chan, A. Toga, P. Thompson
We apply multivariate tensor-based morphometry to study lateral ventricular surface abnormalities associated with HIV/AIDS. We use holomorphic one-forms to obtain a conformal parameterization of ventricular geometry, and to register lateral ventricular surfaces across subjects. In a new development, we computed new statistics on the Riemannian surface metric tensors that encode the full information in the deformation tensor fields. We applied this framework to 3D brain MRI data, to map the profile of lateral ventricular surface abnormalities in HIV/AIDS (11 subjects). Experimental results demonstrated that our method powerfully detected brain surface abnormalities. Multivariate Hotelling's T2 statistics on the local Riemannian metric tensors, computed in a log-Euclidean framework, detected group differences with greater power than other surface-based statistics including the Jacobian determinant, largest and least eigenvalue, or the pair of eigenvalues of the Jacobian matrix. Computational anatomy studies may therefore benefit from surface parameterization using differential forms and tensor-based morphometry, in the log-Euclidean domain, on the resulting surface tensors.
{"title":"Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular changes in HIV/AIDS","authors":"Yalin Wang, Jie Zhang, T. Chan, A. Toga, P. Thompson","doi":"10.1109/ISBI.2009.5193000","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193000","url":null,"abstract":"We apply multivariate tensor-based morphometry to study lateral ventricular surface abnormalities associated with HIV/AIDS. We use holomorphic one-forms to obtain a conformal parameterization of ventricular geometry, and to register lateral ventricular surfaces across subjects. In a new development, we computed new statistics on the Riemannian surface metric tensors that encode the full information in the deformation tensor fields. We applied this framework to 3D brain MRI data, to map the profile of lateral ventricular surface abnormalities in HIV/AIDS (11 subjects). Experimental results demonstrated that our method powerfully detected brain surface abnormalities. Multivariate Hotelling's T2 statistics on the local Riemannian metric tensors, computed in a log-Euclidean framework, detected group differences with greater power than other surface-based statistics including the Jacobian determinant, largest and least eigenvalue, or the pair of eigenvalues of the Jacobian matrix. Computational anatomy studies may therefore benefit from surface parameterization using differential forms and tensor-based morphometry, in the log-Euclidean domain, on the resulting surface tensors.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539328","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5192989
A. Biancardi, A. Reeves, D. Yankelevitz, D. Ghiorghiu, M. Scott, H. Mann
Assessing the precision in the estimation of lesion dimensions is a prerequisite for the determination of growth rates and response to therapy both in clinical practice and research. An initial study was designed and performed to evaluate three different marking methods: uni-dimensional (maximum diameter of nodule in-axial plane), manual volumetric and a computer assisted mark-up (CAM) method. The CAM method has a good level of agreement with the manual method. Additionally, the CAM method is more repeatable than both the manual volumetric and uni-dimensional measures (CAM 95% Limits of Agreement (LoA):[−15.8, 21.2], manual 95% LoA [−23.4, 31.8], uni-dimensional 95% LoA [−43.8, 80.2]) so this study supports the expectation that more reproducible measurements can be made by using a computer assisted method compared to standard manual methods.
{"title":"A pilot study evaluating pulmonary nodule marking methods","authors":"A. Biancardi, A. Reeves, D. Yankelevitz, D. Ghiorghiu, M. Scott, H. Mann","doi":"10.1109/ISBI.2009.5192989","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5192989","url":null,"abstract":"Assessing the precision in the estimation of lesion dimensions is a prerequisite for the determination of growth rates and response to therapy both in clinical practice and research. An initial study was designed and performed to evaluate three different marking methods: uni-dimensional (maximum diameter of nodule in-axial plane), manual volumetric and a computer assisted mark-up (CAM) method. The CAM method has a good level of agreement with the manual method. Additionally, the CAM method is more repeatable than both the manual volumetric and uni-dimensional measures (CAM 95% Limits of Agreement (LoA):[−15.8, 21.2], manual 95% LoA [−23.4, 31.8], uni-dimensional 95% LoA [−43.8, 80.2]) so this study supports the expectation that more reproducible measurements can be made by using a computer assisted method compared to standard manual methods.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122924112","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193272
R. Heckemann, A. Hammers, P. Aljabar, D. Rueckert, J. Hajnal
Atlas-based brain image segmentation quality is difficult to assess in the absence of reference target segmentations. We propose a measure of segmentation success based on transforming the atlas label twice: once by registering the atlas to the target and a second time by registering the target to the atlas. Each registration represents transformations by free-form deformations. The overlap between the twice-transformed label and the original (‘mirror overlap’) correlates with the forward overlap (between the once-transformed label and a target reference), especially for subcortical structures. Using mirror overlap as an atlas selection criterion results in improved segmentations versus random selection.
{"title":"The mirror method of assessing segmentation quality in atlas label propagation","authors":"R. Heckemann, A. Hammers, P. Aljabar, D. Rueckert, J. Hajnal","doi":"10.1109/ISBI.2009.5193272","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193272","url":null,"abstract":"Atlas-based brain image segmentation quality is difficult to assess in the absence of reference target segmentations. We propose a measure of segmentation success based on transforming the atlas label twice: once by registering the atlas to the target and a second time by registering the target to the atlas. Each registration represents transformations by free-form deformations. The overlap between the twice-transformed label and the original (‘mirror overlap’) correlates with the forward overlap (between the once-transformed label and a target reference), especially for subcortical structures. Using mirror overlap as an atlas selection criterion results in improved segmentations versus random selection.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133469128","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193158
I. Krefting
Regulatory actions through 2007-2008 demonstrate FDA's response to multiple reports of sudden death and severe cardiopulmonary reactions temporally related to the administration of Ultrasound Contrast Agents (UCA). Certain animal data showed similar adverse effects at a clinically relevant dose. The products labels were changed to include the boxed warning encouraging healthcare providers to assess patients for contraindications and to monitor patients with pulmonary hypertension or unstable cardiac conditions. To further characterize risks, the manufacturers agreed to perform postmarketing studies in the outpatient setting, a retrospective study in the critically ill and a pulmonary hemodynamic study.
{"title":"FDA perspective on ultrasound contrast agents safety and development","authors":"I. Krefting","doi":"10.1109/ISBI.2009.5193158","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193158","url":null,"abstract":"Regulatory actions through 2007-2008 demonstrate FDA's response to multiple reports of sudden death and severe cardiopulmonary reactions temporally related to the administration of Ultrasound Contrast Agents (UCA). Certain animal data showed similar adverse effects at a clinically relevant dose. The products labels were changed to include the boxed warning encouraging healthcare providers to assess patients for contraindications and to monitor patients with pulmonary hypertension or unstable cardiac conditions. To further characterize risks, the manufacturers agreed to perform postmarketing studies in the outpatient setting, a retrospective study in the critically ill and a pulmonary hemodynamic study.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134316264","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 : 2009-06-28DOI: 10.1109/ISBI.2009.5193294
J. Owen, D. Wipf, H. Attias, K. Sekihara, S. Nagarajan
The synchronous brain activity measured via magentoencephalography (MEG) or electroencephalography (EEG) arises from current dipoles located throughout the cortex. The number, location, time-course, and orientation of these dipoles, called sources, are estimated using a source localization algorithm. Source localization remains a challenging task, one that is significantly compounded by the effects of source correlations and interference from spontaneous brain activity and sensor noise. Likewise, assessing the interactions between the individual sources, known as functional connectivity, is also confounded by noise and correlations in the sensor recordings. In addition, computational complexity has been an obstacle to computing functional connectivity. This paper derives an empirical Bayesian method for performing source localization with MEG and EEG data that includes noise and interference suppression. We demonstrate that this method surpasses standard methods of localization. In addition, we demonstrate that brain source activity inferred from this algorithm is better suited to uncover the interactions between brain areas.
{"title":"Robust methods for reconstructing brain activity and functional connectivity between brain sourceswith MEG/EEG data","authors":"J. Owen, D. Wipf, H. Attias, K. Sekihara, S. Nagarajan","doi":"10.1109/ISBI.2009.5193294","DOIUrl":"https://doi.org/10.1109/ISBI.2009.5193294","url":null,"abstract":"The synchronous brain activity measured via magentoencephalography (MEG) or electroencephalography (EEG) arises from current dipoles located throughout the cortex. The number, location, time-course, and orientation of these dipoles, called sources, are estimated using a source localization algorithm. Source localization remains a challenging task, one that is significantly compounded by the effects of source correlations and interference from spontaneous brain activity and sensor noise. Likewise, assessing the interactions between the individual sources, known as functional connectivity, is also confounded by noise and correlations in the sensor recordings. In addition, computational complexity has been an obstacle to computing functional connectivity. This paper derives an empirical Bayesian method for performing source localization with MEG and EEG data that includes noise and interference suppression. We demonstrate that this method surpasses standard methods of localization. In addition, we demonstrate that brain source activity inferred from this algorithm is better suited to uncover the interactions between brain areas.","PeriodicalId":272938,"journal":{"name":"2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130380094","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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