| Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT. | |
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MedLine Citation:
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PMID: 22377657 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The interpretation of medical images benefits from anatomical and physiological priors to optimize computer-aided diagnosis applications. Diagnosis also relies on the comprehensive analysis of multiple organs and quantitative measures of soft tissue. An automated method optimized for medical image data is presented for the simultaneous segmentation of four abdominal organs from 4D CT data using graph cuts. Contrast-enhanced CT scans were obtained at two phases: non-contrast and portal venous. Intra-patient data were spatially normalized by non-linear registration. Then 4D convolution using population training information of contrast-enhanced liver, spleen and kidneys was applied to multiphase data to initialize the 4D graph and adapt to patient-specific data. CT enhancement information and constraints on shape, from Parzen windows, and location, from a probabilistic atlas, were input into a new formulation of a 4D graph. Comparative results demonstrate the effects of appearance, enhancement, shape and location on organ segmentation. All four abdominal organs were segmented robustly and accurately with volume overlaps over 93.6% and average surface distances below 1.1mm. |
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Authors:
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Marius George Linguraru; John A Pura; Vivek Pamulapati; Ronald M Summers |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Intramural Date: 2012-02-11 |
Journal Detail:
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Title: Medical image analysis Volume: 16 ISSN: 1361-8423 ISO Abbreviation: Med Image Anal Publication Date: 2012 May |
Date Detail:
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Created Date: 2012-04-09 Completed Date: 2012-08-07 Revised Date: 2013-05-03 |
Medline Journal Info:
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Nlm Unique ID: 9713490 Medline TA: Med Image Anal Country: Netherlands |
Other Details:
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Languages: eng Pagination: 904-14 Citation Subset: IM |
Copyright Information:
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Published by Elsevier B.V. |
Affiliation:
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Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA. mlingura@cnmc.org |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Data Interpretation, Statistical Humans Imaging, Three-Dimensional / methods* Pattern Recognition, Automated / methods* Radiographic Image Enhancement / methods Radiographic Image Interpretation, Computer-Assisted / methods* Radiography, Abdominal / methods* Reproducibility of Results Sensitivity and Specificity Tomography, X-Ray Computed / methods* Viscera / radiography* |
| Grant Support | |
ID/Acronym/Agency:
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Z99 CL999999/CL/CLC NIH HHS; ZIA CL040004-09/CL/CLC NIH HHS; ZID CL040016-01/CL/CLC NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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