Registering myocardial fiber orientations with heart geometry using iterative closest points algorithms

Dongdong Deng; Peifeng Jiao; Guofa Shou; Ling Xia

doi:10.1117/12.830695

30 October 2009 Registering myocardial fiber orientations with heart geometry using iterative closest points algorithms

Dongdong Deng, Peifeng Jiao, Guofa Shou, Ling Xia

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74972P (2009) https://doi.org/10.1117/12.830695
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Myocardial electrical excitation propagation is anisotropic, with the most rapid spread of current along the direction of the long axis of the fiber. Fiber orientation is also an important determinant of myocardial mechanics. So myocardial fiber orientations are very important to heart modeling and simulation. Accurately construction of myocardial fiber orientations, however, is still a challenge. The purpose of this paper is to construct a heart geometrical model with myocardial fiber orientations based on CT and 3D laser scanned pictures. The iterative closest points (ICP) algorithms were used to register the fiber orientations with the heart geometry.

Citation Download Citation

Dongdong Deng, Peifeng Jiao, Guofa Shou, and Ling Xia "Registering myocardial fiber orientations with heart geometry using iterative closest points algorithms", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972P (30 October 2009); https://doi.org/10.1117/12.830695

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