| Automatic segmentation of white matter hyperintensities in the elderly using FLAIR images at 3T. | |
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MedLine Citation:
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PMID: 20512882 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: To determine the precision and accuracy of an automated method for segmenting white matter hyperintensities (WMH) on fast fluid-attenuated inversion-recovery (FLAIR) images in elderly brains at 3T. MATERIALS AND METHODS: FLAIR images from 18 individuals (60-82 years, 9 females) with WMH burdens ranging from 1-80 cm(3) were used. The protocol included the removal of clearly hyperintense voxels; two-class fuzzy C-means clustering (FCM); and thresholding to segment probable WMH. Two false-positive minimization (FPM) methods using white matter templates were tested. Precision was assessed by adding synthetic hyperintense voxels to brain slices. Accuracy was validated by comparing automatic and manual segmentations. Whole-brain, voxel-wise metrics of similarity, under- and overestimation were used to evaluate both precision and accuracy. RESULTS: Precision was high, as the lowest accuracy in the synthetic datasets was 93%. Both FPM strategies successfully improved overall accuracy. Whole-brain accuracy for the FCM segmentation alone ranged from 45%-81%, which improved to 75%-85% using the FPM strategies. CONCLUSION: The method was accurate across the range of WMH burden typically seen in the elderly. Accuracy levels achieved or exceeded those of other approaches using multispectral and/or more sophisticated pattern recognition methods. |
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Authors:
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Erin Gibson; Fuqiang Gao; Sandra E Black; Nancy J Lobaugh |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of magnetic resonance imaging : JMRI Volume: 31 ISSN: 1522-2586 ISO Abbreviation: J Magn Reson Imaging Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-05-31 Completed Date: 2010-09-28 Revised Date: 2010-09-30 |
Medline Journal Info:
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Nlm Unique ID: 9105850 Medline TA: J Magn Reson Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 1311-22 Citation Subset: IM |
Affiliation:
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Cognitive Neurology, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Aged Aged, 80 and over Aging Algorithms Automation Brain / pathology* Cluster Analysis False Positive Reactions Female Fuzzy Logic Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging / methods* Middle Aged Reproducibility of Results |
| Grant Support | |
ID/Acronym/Agency:
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//Canadian Institutes of Health Research |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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