Conference proceeding
Analysis of four-dimensional cardiac ventricular magnetic resonance images using statistical models of ventricular shape and cardiac motion
Proceedings of SPIE, Vol.6143(1), pp.614307-6143011
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
03/02/2006
DOI: 10.1117/12.653621
Abstract
Conventional analysis of cardiac ventricular magnetic resonance images is performed using short axis images and does not guarantee completeness and consistency of the ventricle coverage. In this paper, a four-dimensional (4D, 3D+time) left and right ventricle statistical shape model was generated from the combination of the long axis and short axis images. Iterative mutual intensity registration and interpolation were used to merge the long axis and short axis images into isotropic 4D images and simultaneously correct existing breathing artifact. Distance-based shape interpolation and approximation were used to generate complete ventricle shapes from the long axis and short axis manual segmentations. Landmarks were automatically generated and propagated to 4D data samples using rigid alignment, distance-based merging, and B-spline transform. Principal component analysis (PCA) was used in model creation and analysis. The two strongest modes of the shape model captured the most important shape feature of Tetralogy of Fallot (TOF) patients, right ventricle enlargement. Classification of cardiac images into classes of normal and TOF subjects performed on 3D and 4D models showed 100% classification correctness rates for both normal and TOF subjects using
-Nearest Neighbor (
=1 or 3) classifier and the two strongest shape modes.
Details
- Title: Subtitle
- Analysis of four-dimensional cardiac ventricular magnetic resonance images using statistical models of ventricular shape and cardiac motion
- Creators
- Honghai Zhang - Univ. of IowaNicholas Walker - Univ. of IowaSteven C Mitchell - Univ. of IowaMatthew Thomas - Univ. of IowaAndreas Wahle - Univ. of IowaThomas Scholz - Univ. of IowaMilan Sonka - Univ. of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6143(1), pp.614307-6143011
- Conference
- Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
- DOI
- 10.1117/12.653621
- 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; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Child and Community Health; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984093455102771
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