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Analysis of left ventricular motion

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Recent Developments in Computer Vision (ACCV 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1035))

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Abstract

This paper presents recent developments in medical imaging concerning the analysis of non-rigid heart motion. We first describe various imaging modalities that have been used to study the deformation of the left ventricle, including ultrasonic, magnetic resonance images(MRI), and computed tomography(CT). Three general approaches in analyzing the cardiac motion, namely, 1) artificial intelligence (AI)-based methods, 2) parametric models, and 3) physically-based analysis, are then identified and discussed. Finally, we present our research regarding the reconstruction of dynamic structure of the frog's ventricle imaged through a stereo light microscope(SLM).

This work was supported by National Science Foundation, Contract BIR-9106624.

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Authors and Affiliations

  1. Computer and Vision Research Center Dept. of Electrical and Computer Engineering, The University of Texas at Austin, 78712-1084, Austin, Texas

    Wen-Hung Liao, S. J. Aggarwal & J. K. Aggarwal

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  1. Wen-Hung Liao
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  2. S. J. Aggarwal
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  3. J. K. Aggarwal
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Stan Z. Li Dinesh P. Mital Eam Khwang Teoh Han Wang

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© 1996 Springer-Verlag Berlin Heidelberg

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Liao, WH., Aggarwal, S.J., Aggarwal, J.K. (1996). Analysis of left ventricular motion. In: Li, S.Z., Mital, D.P., Teoh, E.K., Wang, H. (eds) Recent Developments in Computer Vision. ACCV 1995. Lecture Notes in Computer Science, vol 1035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60793-5_61

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  • DOI: https://doi.org/10.1007/3-540-60793-5_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60793-9

  • Online ISBN: 978-3-540-49448-5

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