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Probabilistic segmentation of white matter lesions in MR imaging

Petronella Anbeek, Koen L. Vincken, Matthias J.P. van Osch, Robertus H.C. Bisschops, Jeroen van der Grond
2004 NeuroImage  
A new method has been developed for fully automated segmentation of white matter lesions (WMLs) in cranial MR imaging.  ...  This method for automated WML segmentation reaches an accuracy that is comparable to methods for multiple sclerosis (MS) lesion segmentation and is suitable for detection of WMLs in large and longitudinal  ...  WMLs had to be hyperintense on FLAIR, PD and T2-w images. WMLs were firstly classified into deep white matter lesions (DWMLs) and periventricular white matter lesions (PVWMLs).  ... 
doi:10.1016/j.neuroimage.2003.10.012 pmid:15006671 fatcat:y2zlpq2hsne4doqobr5qcu275m

Two Patterns of White Matter Connection in Multiple Gliomas: Evidence from Probabilistic Fiber Tracking

Simin Zhang, Xiaorui Su, Graham J. Kemp, Xibiao Yang, Xinyue Wan, Qiaoyue Tan, Qiang Yue, Qiyong Gong
2022 Journal of Clinical Medicine  
Conclusion: Two distinct patterns of white matter connection exist in multiple gliomas.  ...  Probabilistic fiber tracking was used to quantify white matter connectivity between neoplastic foci. Hierarchical cluster analysis was performed to identify patterns of white matter connection.  ...  Using cluster analysis, we identify two distinct patterns of white matter connection in multiple gliomas: increased and decreased connectivity of the inter-focal white matter.  ... 
doi:10.3390/jcm11133693 pmid:35806978 pmcid:PMC9267772 fatcat:amyywxpbjjf2jiujrmrx74i3ve

Automated White Matter Lesion Segmentation by Voxel Probability Estimation [chapter]

Petronella Anbeek, Koen Vincken, Matthias van Osch, Bob Bisschops, Max Viergever, Jeroen van der Grond
2003 Lecture Notes in Computer Science  
A new method for fully automated segmentation of white matter lesions (WMLs) on cranial MR imaging is presented. The algorithm uses five types of regular MRI-scans.  ...  The technique generates images representing the probability per voxel being part of a WML. By application of thresholds on these probability maps binary segmentations are produced.  ...  Introduction In the last decade much attention has been paid on cerebral white matter lesions in the elderly or in patients with cardiovascular risk factors.  ... 
doi:10.1007/978-3-540-39899-8_75 fatcat:hwefcy6q5vc67c3ttdktjoexny

Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-sequence Brain MRI [chapter]

Guillaume Dugas-Phocion, Miguel Angel González Ballester, Grégoire Malandain, Christine Lebrun, Nicholas Ayache
2004 Lecture Notes in Computer Science  
The framework is based on the Gaussian mixture model in MRI, and employs a probabilistic brain atlas as a prior to produce a segmentation of white matter, grey matter and cerebro-spinal fluid (CSF).  ...  The Expectation Maximization algorithm is a powerful probabilistic tool for brain tissue segmentation.  ...  It takes less than 30 seconds for 256*256*64 images on a 3Ghz PC. The results are shown in figure 1. Visual inspection of white matter segmentation seems satisfactory.  ... 
doi:10.1007/978-3-540-30135-6_4 fatcat:gazrcbanwjfgjllufkiqsjavny

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation— With Application to Tumor and Stroke

Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-Andre Weber, Gabor Szekely, Nicholas Ayache, Polina Golland
2016 IEEE Transactions on Medical Imaging  
We introduce a generative probabilistic model for segmentation of brain lesions in multi-dimensional images that generalizes the EM segmenter, a common approach for modelling brain images using Gaussian  ...  It delineates lesion areas individually in each channel, allowing for differences in lesion appearance across modalities, an important feature of many brain tumor imaging sequences.  ...  approach for white matter lesion [51] .  ... 
doi:10.1109/tmi.2015.2502596 pmid:26599702 pmcid:PMC4854961 fatcat:zprch6zw6nfrvp7gk62vyn2mni

The Existence and Evolution of Diffusion-Perfusion Mismatched Tissue in White and Gray Matter After Acute Stroke

M. Koga, D. C. Reutens, P. Wright, T. Phan, R. Markus, B. Pedreira, G. Fitt, I. Lim, G. A. Donnan
2005 Stroke  
Tissue was segmented using a probabilistic atlas generated from age-matched controls.  ...  The proportions of "at-risk" tissue, which was penumbral at the time of imaging, were compared between gray and white matter.  ...  Probabilistic Maps and Image Analysis To allow segmentation of ischemic tissue into gray (including subcortical gray) and white matter compartments, a probabilistic atlas of both compartments was created  ... 
doi:10.1161/01.str.0000181066.23213.8f pmid:16151036 fatcat:lpjrammu5fa6vl7aa3i347yvkm

Uncertainty Estimation and Visualization for Multi-modal Image Segmentation [article]

Ahmed Al-Taie, Horst K. Hahn, Lars Linsen
2015 Eurographics Workshop on Visual Computing for Biomedicine  
We apply our approach for an improved segmentation of Multiple Sclerosis (MS) lesions from multiple MR brain imaging modalities.  ...  We combine probabilistic uni-modal image segmentation results using the concept of ensemble of classifiers.  ...  For example, the MS lesion in PD-, T1-, and T2-weighted MR imaging could have intensities similar to cerebrospinal fluid (CSF), gray matter, and CSF, respectively, or CSF, white matter, and CSF, respectively  ... 
doi:10.2312/vcbm.20151205 dblp:conf/vcbm/Al-TaieHL15 fatcat:h7s5axvkdzb67dorznj6fnjggy

Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions

J.D. Dworkin, P. Sati, A. Solomon, D.L. Pham, R. Watts, M.L. Martin, D. Ontaneda, M.K. Schindler, D.S. Reich, R.T. Shinohara
2018 American Journal of Neuroradiology  
of the central vein sign for each lesion in a patient's full MR imaging scan.  ...  In this study, we present an automated technique for the detection of the central vein sign in white matter lesions.  ...  Ten had MS and no comorbidities known to produce MR imaging white matter abnormalities; 10 had MS and comorbidities known to produce MR imaging white matter abnormalities; 10 had migraine with MR imaging  ... 
doi:10.3174/ajnr.a5765 pmid:30213803 pmcid:PMC6177309 fatcat:plqin7fdb5fmfhitrug673nm7e

Adaptive, template moderated, spatially varying statistical classification

S.K Warfield, Michael Kaus, Ferenc A Jolesz, Ron Kikinis
2000 Medical Image Analysis  
A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy from medical images.  ...  The ATM SVC algorithm was applied to several segmentation problems, involving different image contrast mechanisms and different locations in the body.  ...  Acknowledgements This investigation was supported (in part) by a grant from the National Multiple Sclerosis Society (SKW) and by NIH grants P41 RR13218-01, R01 RR11747-01A and P01 CA67165-03.  ... 
doi:10.1016/s1361-8415(00)00003-7 pmid:10972320 fatcat:ict77bpyijdanajm5vqn6rvl3m

Adaptive template moderated spatially varying statistical classification [chapter]

Simon K. Warfield, Michael Kaus, Ferenc A. Jolesz, Ron Kikinis
1998 Lecture Notes in Computer Science  
A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy from medical images.  ...  The ATM SVC algorithm was applied to several segmentation problems, involving different image contrast mechanisms and different locations in the body.  ...  Acknowledgements This investigation was supported (in part) by a grant from the National Multiple Sclerosis Society (SKW) and by NIH grants P41 RR13218-01, R01 RR11747-01A and P01 CA67165-03.  ... 
doi:10.1007/bfb0056228 fatcat:3c3uaispmjglnoneruta6xtrme

Use Case I: Imaging Biomarkers in Neurological Disease. Focus on Multiple Sclerosis [chapter]

Diana M. Sima, Dirk Loeckx, Dirk Smeets, Saurabh Jain, Paul M. Parizel, Wim Van Hecke
2016 Imaging Biomarkers  
In current clinical practice, these assessments are based on visual inspection of MR images by expert neurologists and neuroradiologists, who evaluate the presence and distribution of focal white matter  ...  Nowadays, we know that in addition to white matter lesions, MS is also characterised by grey matter lesions and atrophy [ 15 ] .  ... 
doi:10.1007/978-3-319-43504-6_15 fatcat:jjue6uryjba3vpnm3eblmlauge

In vivo detection of connectivity between cortical and white matter lesions in early MS

Jan-Mendelt Tillema, Stephen D Weigand, Jay Mandrekar, Yunhong Shu, Claudia F Lucchinetti, Istvan Pirko, John D Port
2016 Multiple Sclerosis  
Background-The relationship between cortical lesions (CLs) and white matter lesions (WMLs) in MS is poorly understood.  ...  We hypothesized that cortical MS lesions are physically connected to white matter MS lesions via axonal connections.  ...  Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.  ... 
doi:10.1177/1352458516671027 pmid:27698248 pmcid:PMC5344755 fatcat:xd6ti7syprcqdkh5dydy2yk2cm

Quantitative cerebral blood flow in dynamic susceptibility contrast MRI using total cerebral flow from phase contrast magnetic resonance angiography

David Bonekamp, Mahaveer Degaonkar, Peter B. Barker
2011 Magnetic Resonance in Medicine  
The sum of squares variance about the mean (uncorrected: white matter =105.6, gray matter=472.2; corrected: white matter=34.1, gray matter=99.8) after correction was significantly lower for white matter  ...  The mean gray and white matter CBF in the contralateral hemisphere were not significantly altered by the correction, however.  ...  The authors thank Dr Elias Melhem for helpful discussions, Dr Steven Shea and Mr Robert Evers for protocol development, and Dr Leif Ostergaard for kindly providing the 'Penguin' perfusion imaging software  ... 
doi:10.1002/mrm.22776 pmid:21287594 pmcid:PMC3140063 fatcat:qoxnf7bmyfbl5ozeehqn26y5ru

Damage in the Thalamocortical Tracts is Associated With Subsequent Thalamus Atrophy in Early Multiple Sclerosis

Merlin M. Weeda, Ilanah J. Pruis, Aimee S. R. Westerveld, Iman Brouwer, Barbara Bellenberg, Frederik Barkhof, Hugo Vrenken, Carsten Lukas, Ruth Schneider, Petra J. W. Pouwels
2020 Frontiers in Neurology  
In early multiple sclerosis (MS), thalamus atrophy and decreased integrity of the thalamocortical white matter (WM) tracts have been observed.  ...  Methods: At two time points, 72 subjects with early MS underwent T1, FLAIR and diffusion tensor imaging.  ...  HV, CL, RS, and PP: drafting and critical revision of the work for important intellectual content. MW, IP, AW, IB, BB, FB, HV, CL, RS, and PP: final approval of the version to be published.  ... 
doi:10.3389/fneur.2020.575611 pmid:33281710 pmcid:PMC7705066 fatcat:gp4jlfb2e5cupmw5nx3yl3cvai

Automatic Brain and Tumor Segmentation [chapter]

Nathan Moon, Elizabeth Bullitt, Koen van Leemput, Guido Gerig
2002 Lecture Notes in Computer Science  
Using a probabilistic geometric model of sought structures and image registration serves both initialization of probability density functions and definition of spatial constraints.  ...  Our driving application is the segmentation of brain tissue and tumors from three-dimensional magnetic resonance imaging (MRI).  ...  Tumor Class In addition to the three tissue classes assumed in the EMS segmentation (white matter, grey matter, csf), we add a new class for tumor tissue.  ... 
doi:10.1007/3-540-45786-0_46 fatcat:oyskexvmdjc7nkknv6wb2sjmvi
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