| Multi-feature-based plaque characterization in ex vivo MRI trained by registration to 3D histology. | |
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MedLine Citation:
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PMID: 22156050 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We present a new method for automated characterization of atherosclerotic plaque composition in ex vivo MRI. It uses MRI intensities as well as four other types of features: smoothed, gradient magnitude and Laplacian images at several scales, and the distances to the lumen and outer vessel wall. The ground truth for fibrous, necrotic and calcified tissue was provided by histology and μCT in 12 carotid plaque specimens. Semi-automatic registration of a 3D stack of histological slices and μCT images to MRI allowed for 3D rotations and in-plane deformations of histology. By basing voxelwise classification on different combinations of features, we evaluated their relative importance. To establish whether training by 3D registration yields different results than training by 2D registration, we determined plaque composition using (1) a 2D slice-based registration approach for three manually selected MRI and histology slices per specimen, and (2) an approach that uses only the three corresponding MRI slices from the 3D-registered volumes. Voxelwise classification accuracy was best when all features were used (73.3 ± 6.3%) and was significantly better than when only original intensities and distance features were used (Friedman, p < 0.05). Although 2D registration or selection of three slices from the 3D set slightly decreased accuracy, these differences were non-significant. |
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Authors:
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Arna van Engelen; Wiro J Niessen; Stefan Klein; Harald C Groen; Hence Jm Verhagen; Jolanda J Wentzel; Aad van der Lugt; Marleen de Bruijne |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-07 |
Journal Detail:
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Title: Physics in medicine and biology Volume: 57 ISSN: 1361-6560 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0401220 Medline TA: Phys Med Biol Country: - |
Other Details:
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Languages: ENG Pagination: 241-256 Citation Subset: - |
Affiliation:
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Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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