Title :
Estimation of patient-specific material properties of the mitral valve using 4D Transesophageal Echocardiography
Author :
Kanik, Jingjing ; Mansi, Tommaso ; Voigt, Ingmar ; Sharma, Parmanand ; Ionasec, Razvan Ioan ; Comaniciu, Dorin ; Duncan, J.
Author_Institution :
Dept. of Biomed. Eng., Yale Univ., New Haven, CT, USA
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.
Keywords :
Kalman filters; Young´s modulus; biomechanics; echocardiography; feature extraction; image classification; medical image processing; parameter estimation; physiological models; shear modulus; 4D TEE; 4D transesophageal echocardiography; EKF; Young modulus; biomechanical model; diseased area detection; diseased area evaluation; extended Kalman filter; fully personalized model; generic material parameter; image-derived mitral valve dynamics; limited predictive power; mitral valve diagnosis; mitral valve dynamics visualization; mitral valve modeling; mitral valve morphology visualization; mitral valve treatment planning; patient-data partial fitting; patient-specific material property estimation; quantitative patient-specific modeling; regional patient-specific material parameter; reliable medical intervention predictive simulation; shear modulus; state-of-the-art image-based model; Biological system modeling; Biomechanics; Biomedical imaging; Estimation; Geometry; Materials; Valves; TEE; biomechanical model; extended Kalman filter; material parameters; mitral valve;
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-6456-0
DOI :
10.1109/ISBI.2013.6556690