NDLI: Estimation of patient-specific material properties of the mitral valve using 4D Transesophageal Echocardiography

Content Provider	IEEE Xplore Digital Library
Author	Kanik, J. Mansi, T. Voigt, I. Sharma, P. Ionasec, R.I. Comaniciu, D. Duncan, J.
Copyright Year	2013
Description	Author affiliation: Corp. Technol., Imaging & Comput. Vision, Siemens Corp., Princeton, NJ, USA (Mansi, T.; Voigt, I.; Sharma, P.; Ionasec, R.I.; Comaniciu, D.) \|\| Dept. of Biomed. Eng., Yale Univ., New Haven, CT, USA (Kanik, J.; Duncan, J.)
Abstract	4D Transesophageal Echocardiography (TEE) is a newly developed tool to visualize the morphology and dynamics of the mitral valve for diagnosis and treatment planning. Quantitative patient-specific modeling of the mitral valve is demanded since it allows for the reliable predictive simulation of medical intervention. State-of-the-art image-based and biomechanical models with generic material parameters have limited predictive power as they are only partially fitted to patient-data. As a step closer to a fully personalized model, an estimation algorithm is presented in this paper. The method combines image-derived mitral valve dynamics with a biomechanical model to estimate regional patient-specific material parameters in-vivo. In particular, the extended Kalman filter (EKF) is adopted in a way that it becomes flexible to integrate any biomechanical model and more parameters of interest in the estimation. The algorithm was verified on synthetic data with known Young's modulus and shear modulus, yielding less than 5% error. The algorithm was also evaluated on 4D TEE images of five patients. Estimated Young's moduli agree with the clinical observation that material parameters vary regionally and among the population. The estimated material parameters can be used in patient-specific modeling as well as the detection and evaluation of diseased areas.
Sponsorship	IEEE
Starting Page	1178
Ending Page	1181
File Size	1619965
Page Count	4
File Format	PDF
ISBN	9781467364560
ISSN	19457928
e-ISBN	9781467364553
DOI	10.1109/ISBI.2013.6556690
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Valves Materials Biological system modeling Biomechanics Estimation Geometry Biomedical imaging extended Kalman filter TEE mitral valve biomechanical model material parameters
Content Type	Text
Resource Type	Article

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