NDLI: Nonlinear cardiac deformation recovery from medical images

Content Provider	IEEE Xplore Digital Library
Author	Wong, K.C.L. Linwei Wang Heye Zhang Pengcheng Shi
Copyright Year	2009
Description	Author affiliation: Computational Biomedicine Laboratory, Rochester Institute of Technology, USA (Wong, K.C.L.; Linwei Wang; Pengcheng Shi) \|\| Bioengineering Institute, University of Auckland, New Zealand (Heye Zhang)
Abstract	To recover physiologically meaningful cardiac deformation from medical images, realistic physiological models are essential to constrain the recovery process, and a statistical filtering framework is required to couple the models and images according to their respective uncertainties. As realistic cardiac models are usually nonlinear, existing cardiac deformation recovery frameworks either ignore the statistical filtering part, or linearize the model and apply linear filtering techniques such as the extended Kalman filtering. This reduces the physiological plausibility and statistical optimality of the recovery results. In this paper, we propose a nonlinear cardiac deformation recovery framework with unscented Kalman filtering which preserves the intact system nonlinearity. Experiments were done on both synthetic data and magnetic resonance images to show the benefits and clinical relevance of our framework.
Starting Page	2513
Ending Page	2516
File Size	822659
Page Count	4
File Format	PDF
ISBN	9781424456536
ISSN	15224880
e-ISBN	9781424456543
e-ISBN	9781424456550
DOI	10.1109/ICIP.2009.5413912
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical imaging Deformable models Nonlinear filters Filtering Myocardium Biological materials Image motion analysis Nonlinear dynamical systems Kalman filters Energy conversion unscented Kalman filter Cardiac image analysis cardiac deformation recovery cardiac physiome model
Content Type	Text
Resource Type	Article

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