Abstract
Making a generic heart deformable model to be able to analyze normal and pathological hearts is important. Such a generic model gives more stability and accuracy for segmentation, analysis and classsification. Due to the conflicting demands of shape generality and shape compactness, such a generic heart model is difficult to define. In order to be useful, a generic heart model should be defined with a few number of parameters. In all the previous work on the modeling of the LV-RV shape the deformable model is built from the given datasets. Therefore such methods have limitations that the quality of shape estimation are dependent on the quality of the datasets. In this paper, we introduce a blended deformable model approach with parameter functions which is generic enough to deal with the different heart shapes. Using a method we are able to model the 3D shape of the heart which include the left ventricle (LV) and the right ventricle (RV). We also include the inflow and outflow tract of the RV basal area, so that the full LV-RV shape can be estimated.
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References
L. Axel and L. Dougherty. Heart wall motion: Improved method of spatial modulation of magnetization for mr imaging, 1989.
D. DeCarlo and D. Metaxas. Blended deformable models. In Proceedings of the Conference on Computer Vision and Pattern Recognition, pages 566–572, Los Alamitos, CA, USA, June 1994. IEEE Computer Society Press.
Jerome Declerck, Nicholas Ayache, and Elliot R. McVeigh. Use of a 4D planispheric transformation for the tracking and the analysis of LV motion with tagged MR images. Technical Report RR-3535, Inria, Institut National de Recherche en Informatique et en Automatique.
Edith Haber, Dimitris N. Metaxas, and Leon Axel. Motion analysis of the right ventricle from MRI images. Lecture Notes in Computer Science, 1496:177-??, 1998.
Michael Kass, Andrew Witkin, and Demetri Terzopoulos. Snakes: Active Contour Models. Academic Publishers, 1987.
Daniel Kristjansson, Henning Biermann, and Denis Zorin. Approximate boolean operations on free-form solids. In Proceedings of ACM SIGGRAPH 2001, Computer Graphics Proceedings, Annual Conference Series, pages 185–194. ACM Press / ACM SIGGRAPH, August 2001. ISBN 1-58113-292-1.
D. Metaxas and D. Terzopoulos. Shape and nonrigid motion estimation through physics-based synthesis, 1993.
X. Papademetris, A. J. Sinusas, D. P. Dione, and J. S. Duncan. Estimation of 3D left ventricular deformation from echocardiography. Medical Image Analysis, 2001.
J. Park, D. Metaxas, and L. Axel. Analysis of left ventricular wall motion based on volumetric deformable models and MRI-SPAMM. Medical Image Analysis, 1(1):53–71, 1996.
J. Park, D. Metaxas, A. Young, and L. Axel. Deformable models with parameter functions for cardiac motion analysis from tagged mri data. 1996.
Alistair A. Young. Model tags: Direct 3D tracking of heart wall motion from tagged MR images. Lecture Notes in Computer Science, 1496:92–101, 1998.
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© 2002 Springer-Verlag Berlin Heidelberg
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Park, K., Metaxas, D.N., Axel, L. (2002). LV-RV Shape Modeling Based on a Blended Parameterized Model. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45786-0_93
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DOI: https://doi.org/10.1007/3-540-45786-0_93
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