Conference proceeding
Four-dimensional functional analysis of left and right ventricles using MR images and active appearance models
Proceedings of SPIE, Vol.6511(1), pp.65111M-65111M-10
Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
03/08/2007
DOI: 10.1117/12.709423
Abstract
Conventional analysis of cardiac ventricular function from magnetic resonance images is typically relying on short axis image information only. Usually, two cardiac phases of the cardiac cycle are analyzed- the end-diastole and end-systole. Unfortunately, the short axis ventricular coverage is incomplete and inconsistent due to the lack of image information about the ventricular apex and base. In routine clinical images, this information is only available in long axis image planes. Additionally, the standard ventricular function indices such as ejection fraction are only based on a limited temporal information and therefore do not fully describe the four-dimensional (4D, 3D+time) nature of the heart's motion. We report a novel approach in which the long and short axis image data are fused to correct for respiratory motion and form a spatio-temporal 4D data sequence with cubic voxels. To automatically segment left and right cardiac ventricles, a 4D active appearance model was built. Applying the method to cardiac segmentation of tetralogy of Fallot (TOF) and normal hearts, our method achieved mostly subvoxel signed surface positioning errors of 0.2±1.1 voxels for normal left ventricle, 0.6±1.5 voxels for normal right ventricle, 0.5±2.1 voxels for TOF left ventricle, and 1.3±2.6 voxels for TOF right ventricle. Using the computer segmentation results, the cardiac shape and motion indices and volume-time curves were derived as novel indices describing the ventricular function in 4D.
Details
- Title: Subtitle
- Four-dimensional functional analysis of left and right ventricles using MR images and active appearance models
- Creators
- Honghai Zhang - University of IowaMatthew T Thomas - University of IowaNicholas E Walker - The Univ. of IowaAlan H Stolpen - University of IowaAndreas Wahle - University of IowaThomas D Scholz - University of IowaMilan Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6511(1), pp.65111M-65111M-10
- Conference
- Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
- DOI
- 10.1117/12.709423
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/08/2007
- Academic Unit
- Electrical and Computer Engineering; Cardiology; Injury Prevention Research Center; Roy J. Carver Department of Biomedical Engineering; Radiology; Stead Family Department of Pediatrics; Cardiovascular Medicine; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Child and Community Health; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186590102771
Metrics
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