Conference proceeding
Quantitative analysis of two-phase 3D+time aortic MR images
Proceedings of SPIE, Vol.6144(1), pp.614423-6144210
Medical Imaging 2006: Image Processing
03/02/2006
DOI: 10.1117/12.652763
Abstract
Automated and accurate segmentation of the aorta in 3D+time MR image data is important for early detection of connective tissue disorders leading to aortic aneurysms and dissections. A computer-aided diagnosis method is reported that allows the objective identification of subjects with connective tissue disorders from two-phase 3D+time aortic MR images. Our automated segmentation method combines level-set and optimal border detection. The resulting aortic lumen surface was registered with an aortic model followed by calculation of modal indices of aortic shape and motion. The modal indices reflect the differences of any individual aortic shape and motion from an average aortic behavior. The indices were input to a Support Vector Machine (SVM) classifier and a discrimination model was constructed. 3D+time MR image data sets acquired from 22 normal and connective tissue disorder subjects at end-diastole (R-wave peak) and at 45% of the R-R interval were used to evaluate the performance of our method. The automated 3D segmentation result produced accurate aortic surfaces covering the aorta from the left-ventricular outflow tract to the diaphragm and yielded subvoxel accuracy with signed surface positioning errors of -0.09±1.21 voxel (-0.15±2.11 mm). The computer aided diagnosis method distinguished between normal and connective tissue disorder subjects with a classification correctness of 90.1 %.
Details
- Title: Subtitle
- Quantitative analysis of two-phase 3D+time aortic MR images
- Creators
- Fei Zhao - University of IowaHonghai Zhang - University of IowaNicholas E Walker - Univ. of IowaFuxing Yang - University of IowaMark E Olszewski - University of IowaAndreas Wahle - University of IowaThomas Scholz - Univ. of IowaMilan Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6144(1), pp.614423-6144210
- Conference
- Medical Imaging 2006: Image Processing
- DOI
- 10.1117/12.652763
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/02/2006
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Cardiology; Stead Family Department of Pediatrics; Cardiovascular Medicine; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Child and Community Health; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186601802771
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