Analysis of 4D cardiovascular MRI data
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Contact: Honghai Zhang (honghai-zhang@uiowa.edu)
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Jump to: Project description | People involved | Publications
Project description
4D active appearance models of ventricles and aorta are to be generated using manual or automatic segmentation on 4D MRI data sets. Then the trained 4D AAM models are to be used for highly automated segmentation of ventricles and aorta.
The generated 4D AAM model coefficients provide compact representation of both shape and intensity variation of ventricles and aorta among population and can be used in diagnois and early identification of cardiavascular diseases.
People involved
Honghai Zhang, Ph.D Candidate, Research Assistant, Department of Electrical and Computer Engineering, The University of Iowa
Nicholas Walker, M.D. Department of Internal Medicine, The University of Iowa
Andreas Wahle, Research Assistant Professor, Ph.D. Department of Electrical and Computer Engineering, The University of Iowa
Thomas Scholz, M.D. Department of Pediatrics, The University of Iowa
Alan Stolpen, Associate Professor M.D. Ph.D. Department of Radiology, The University of Iowa
Milan Sonka, Professor, Department of Electrical and Computer Engineering, The University of Iowa
Publications
3-D Active Appearance Models: Segmentation of Cardiac MR and Ultrasound Images
Steven C. Mitchell, Johan G. Bosch, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Johan H. C. Reiber, and Milan Sonka,
IEEE Transactions on Medical Imaging, September 2002, Volume 21, Issue 9, pp. 1167-1178
Download: pdf
Multistage Hybrid Active Appearance Model Matching: Segmentation of Left and Right Ventricles in Cardiac MR Images
Steven C. Mitchell, Boudewijn P. F. Lelieveldt, Rob J. van der Geest, Hans G. Bosch, Johan H. C. Reiber, and Milan Sonka,
IEEE Transactions on Medical Imaging, May 2001, Volume 20, Issue 5, pp. 415-423
Download: pdf