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Proceedings Paper

Quantitative analysis of two-phase 3D+time aortic MR images
Author(s): Fei Zhao; Honghai Zhang; Nicholas E. Walker; Fuxing Yang; Mark E. Olszewski; Andreas Wahle; Thomas Scholz; Milan Sonka
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Paper 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 %.

Paper Details

Date Published: 10 March 2006
PDF: 10 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614423 (10 March 2006); doi: 10.1117/12.652763
Show Author Affiliations
Fei Zhao, Univ. of Iowa (United States)
Honghai Zhang, Univ. of Iowa (United States)
Nicholas E. Walker, Univ. of Iowa (United States)
Fuxing Yang, Univ. of Iowa (United States)
Mark E. Olszewski, Univ. of Iowa (United States)
Andreas Wahle, Univ. of Iowa (United States)
Thomas Scholz, Univ. of Iowa (United States)
Milan Sonka, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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