| Normalized maximum intensity time ratio maps and morphological descriptors for assessment of malignancy in MR mammography. | |
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MedLine Citation:
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PMID: 18561664 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Effectiveness of morphological descriptors based on normalized maximum intensity-time ratio (nMITR) maps generated using a 3 x 3 pixel moving mask on dynamic contrast-enhanced magnetoresistance (MR) mammograms are studied for assessment of malignancy. After a rough indication of volume of interest on the nMITR maps, lesions are automatically segmented. Two-dimensional (2D) convexity, normalized complexity, extent, and eccentricity as well as three-dimensional (3D) versions of these descriptors and contact surface area ratio are computed. On a data set consisting of dynamic contrast-enhanced MR DCE-MR mammograms from 51 women that contain 26 benign and 32 malignant lesions, 3D convexity, complexity, and extent are found to reflect aggressiveness of malignancy better than 2D descriptors. Contact surface area ratio which is easily adaptable to different imaging resolutions is found to be the most significant and accurate descriptor (75% sensitivity, 88% specificity, 89% positive predictive values, and 74% negative predictive values). |
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Authors:
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Gokhan Ertas; H Ozcan Gulcur; Mehtap Tunaci |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Medical physics Volume: 35 ISSN: 0094-2405 ISO Abbreviation: Med Phys Publication Date: 2008 May |
Date Detail:
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Created Date: 2008-06-19 Completed Date: 2008-07-09 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0425746 Medline TA: Med Phys Country: United States |
Other Details:
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Languages: eng Pagination: 1893-900 Citation Subset: IM |
Affiliation:
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Biomedical Engineering Institute, Bogazici University, 34342 Bebek, Istanbul, Turkey. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Aged, 80 and over Breast Neoplasms / diagnosis*, pathology* Equipment Design Female Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional / methods* Magnetic Resonance Imaging / methods* Mammography / methods* Middle Aged Models, Statistical Reproducibility of Results Surface Properties |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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