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Literature DB >> 16685872

STREM: a robust multidimensional parametric method to segment MS lesions in MRI.

L S Aït-Ali¹, S Prima, P Hellier, B Carsin, G Edan, C Barillot.

Abstract

We propose to segment Multiple Sclerosis (MS) lesions overtime in multidimensional Magnetic Resonance (MR) sequences. We use a robust algorithm that allows the segmentation of the abnormalities using the whole time series simultaneously and we propose an original rejection scheme for outliers. We validate our method using the BrainWeb simulator. To conclude, promising preliminary results on longitudinal multi-sequences of clinical data are shown.

Entities: Disease

Mesh：

Year: 2005 PMID： 16685872 DOI： 10.1007/11566465_51

Source DB: PubMed Journal: Med Image Comput Comput Assist Interv

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Cited

15 in total

1. Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

Authors: Aaron Carass; Snehashis Roy; Amod Jog; Jennifer L Cuzzocreo; Elizabeth Magrath; Adrian Gherman; Julia Button; James Nguyen; Ferran Prados; Carole H Sudre; Manuel Jorge Cardoso; Niamh Cawley; Olga Ciccarelli; Claudia A M Wheeler-Kingshott; Sébastien Ourselin; Laurence Catanese; Hrishikesh Deshpande; Pierre Maurel; Olivier Commowick; Christian Barillot; Xavier Tomas-Fernandez; Simon K Warfield; Suthirth Vaidya; Abhijith Chunduru; Ramanathan Muthuganapathy; Ganapathy Krishnamurthi; Andrew Jesson; Tal Arbel; Oskar Maier; Heinz Handels; Leonardo O Iheme; Devrim Unay; Saurabh Jain; Diana M Sima; Dirk Smeets; Mohsen Ghafoorian; Bram Platel; Ariel Birenbaum; Hayit Greenspan; Pierre-Louis Bazin; Peter A Calabresi; Ciprian M Crainiceanu; Lotta M Ellingsen; Daniel S Reich; Jerry L Prince; Dzung L Pham
Journal: Neuroimage Date: 2017-01-11 Impact factor: 6.556

2. Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.

Authors: Rui Wang; Chao Li; Jie Wang; Xiaoer Wei; Yuehua Li; Yuemin Zhu; Su Zhang
Journal: Neuroradiology Date: 2014-11-19 Impact factor: 2.804

3. Example Based Lesion Segmentation.

Authors: Snehashis Roy; Qing He; Aaron Carass; Amod Jog; Jennifer L Cuzzocreo; Daniel S Reich; Jerry Prince; Dzung Pham
Journal: Proc SPIE Int Soc Opt Eng Date: 2014-03-21

4. Patterns of brain reorganization subsequent to left fusiform damage: fMRI evidence from visual processing of words and pseudowords, faces and objects.

Authors: Kyrana Tsapkini; Manuel Vindiola; Brenda Rapp
Journal: Neuroimage Date: 2010-12-17 Impact factor: 6.556

STREM: a robust multidimensional parametric method to segment MS lesions in MRI.

1. Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

2. Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.

3. Example Based Lesion Segmentation.

4. Patterns of brain reorganization subsequent to left fusiform damage: fMRI evidence from visual processing of words and pseudowords, faces and objects.

Review 5. Segmentation of multiple sclerosis lesions in MR images: a review.

6. Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis.

7. A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.

8. Multimodal MRI segmentation of ischemic stroke lesions.

9. Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI data.

10. Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.