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Proceedings Paper

Analysis of four-dimensional cardiac ventricular magnetic resonance images using statistical models of ventricular shape and cardiac motion
Author(s): Honghai Zhang; Nicholas Walker; Steven C. Mitchell; Matthew Thomas; Andreas Wahle; Thomas Scholz; Milan Sonka
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Paper 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 k-Nearest Neighbor (k=1 or 3) classifier and the two strongest shape modes.

Paper Details

Date Published: 13 March 2006
PDF: 11 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614307 (13 March 2006); doi: 10.1117/12.653621
Show Author Affiliations
Honghai Zhang, Univ. of Iowa (United States)
Nicholas Walker, Univ. of Iowa (United States)
Steven C. Mitchell, Univ. of Iowa (United States)
Matthew Thomas, 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. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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