| Robust White Matter Lesion Segmentation in FLAIR MRI. | |
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MedLine Citation:
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PMID: 22203699 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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This work discusses a white matter lesion (WML) segmentation scheme for FLAIR MRI, that computes the volume of lesions with subvoxel precision by accounting for the partial volume averaging (PVA) artifact. As WML are related to stroke and carotid disease, accurate volume measurements are most important. Manual volume computation is labourious, subjective, time consuming and error prone. Automated methods are a nice alternative since they quantify WML volumes in an objective, efficient and reliable manner. PVA is initially modeled with a localized edge strength measure since PVA resides in the boundaries between tissues. This map is computed in 3D and is transformed to a global representation to increase robustness to noise. Significant edges correspond to PVA voxels, which are used to find the PVA fraction (amount of each tissue present in mixture voxels). Results on simulated and real FLAIR images show high WML segmentation performance compared to ground truth (98.9% and 83% overlap, respectively), which outperforms other methods. Lesion load studies are included that automatically analyze WML volumes for each brain hemisphere separately. This technique does not require any distributional assumptions/parameters or training samples and is applied on a single MR modality, which is a main advantage compared to the traditional methods. |
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Authors:
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A Khademi; A Venetsanopoulos; A Moody |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-22 |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: - ISSN: 1558-2531 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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