Please wait a minute...
J4  2012, Vol. 46 Issue (5): 912-917    DOI: 10.3785/j.issn.1008-973X.2012.05.022
孟捷1 ,刘华锋1 ,岳茂雄2 ,胡红杰3
1.浙江大学 现代光学仪器国家重点实验室,浙江 杭州 310027;2.中国空气动力研究与发展中心四所,四川 绵阳 621000;
3. 浙江大学 医学院附属邵逸夫医院放射科, 浙江 杭州 310016
Biomechanical model guided dual estimation of myocardial
motion and material parameters
MENG Jie1,LIU Hua-feng1,YUE Mao-xiong2,HU Hong-jie3
1.State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, China;
2. China Aerodynamics Research and Development Center, Mianyang 621000, China;
3. The Affiliated Sir Run Run Shaw Hospital,Zhejiang University, Hangzhou 310016, China
 全文: PDF  HTML



The majority of traditional estimation techniques based on medical images deal with cardiac motion analysis and material parameters estimation separately without consideration of the underlying close connection. And in order  to improve the slow convergence of Kalman filter (KF) joint estimation method caused by the computation of cross covariance between parameter and state, a dual estimation framework relying on KF/EKF(extended KF) was proposed. A finite element method was employed to represent the computation domain and then a coupled biomechanical-model constrained state-space framework, one for the motion and the other for the material parameter, was formulated. It first generated estimates of heart kinematics with suboptimal material parameter estimates with KF, and then recovered the elasticity property given these kinematic state estimates based on EKF technique. Finally, the coupled filters would estimate motion and material properties simultaneously. The improved accuracy and fast convergence performance of the proposed strategy is demonstrated with synthetic data of varying noises.

出版日期: 2012-05-01
:  TP 301  

 国家“973”重点基础研究发展规划资助项目(2010CB732504); 国家自然基金资助项目(60872068); 浙江省科技计划资助项目(2010C33026) .

通讯作者: 刘华锋,男,教授.     E-mail:
作者简介: 孟捷(1986-),男,硕士生,从事心脏医学图像处理研究
E-mail Alert


孟捷 ,刘华锋 ,岳茂雄 ,胡红杰. 生物力学模型导引的心肌运动与材料参数对偶估计[J]. J4, 2012, 46(5): 912-917.

MENG Jie,LIU Hua-feng,YUE Mao-xiong,HU Hong-jie. Biomechanical model guided dual estimation of myocardial
motion and material parameters. J4, 2012, 46(5): 912-917.


[1]  FRANGI A F, NIESSEN W J, VIERGEVER M A. Threedimensional modeling for functional analysis of cardiac images: A review
[J]. IEEE Transactions on Medical Imaging, 2001, 20(1): 2-25.

[2] SHI P, SINUSAS A, CONSTABLEAND R T, et al. Pointtracked quantitative analysis of left ventricular  motion from 3D image sequences
[J]. IEEE Transactions on Medical Imaging, 2000, 19: 36-50.

[3] BENAYOUN N, AYACHE N. Dense nonrigid motion estimation in sequences of medical images using differential constraints
[J]. International Journal of Computer Vision, 1998, 26: 25-40.

[4] PARK J, METAXAS D, AXEL L. Analysis of left ventricular wall motion based on volumetric deformable models and MRISPAMM
[J]. Medical Image Analysis, 1996, 1: 53-71.

[5] LEDESMACARBAYO M J, KYBIC J, DESCO M, et al. Spatiotemporal nonrigid registration for ultrasound cardiac motion estimation
[J]. IEEE Transactions on Medical Imaging, 2005, 24(9): 1113-1126.

[6] PAPADEMETRIS X, SINUSAS A J, DIONE D P, et al. Estimation of 3D left ventricular deformation from medical images using biomechanical models
[J]. IEEE Transactions on Medical Imaging, 2002, 21: 786-799.

[7] BILLET F, SERMESAN M, DELINGETTE H, et al. Cardiac motion recovery and boundary conditions estimation by coupling an electromechanical model and cineMRI data \
[C\]∥ Functional Imaging and Modeling of the Heart: 5th International Conference. Nice: Springer, 2009,5528: 376-385.

[8] SHI P, LIU H. Stochastic finite element framework for simultaneous estimation of cardiac kinematic functions and material parameters
[J]. Medical Image Analysis, 2003, 7(4):45-64.

[9] ZHANG H, LI B, ALISTAIR A, et al. Recovery of myocardial kinematic function without the time history of external loads
[J]. EURASIP Journal on Advances in Signal Processing, 2010, doi:10.1155/2010/310473

[10] VAN LINT J W C, HOOGENDOOM S P, HEGYI A. Dual EKF state and parameter estimation in multiclass firstorder traffic flow models
[C]∥ Proceedings of the 17th IFAC World Congress. Seoul:\
[s.n.\] 2008: 14078-14083.

[11] GOVE J H, HOLLINGER D Y. Application of a dual unscented Kalman filter for simultaneous state and parameter estimation in problems of surfaceatmosphere exchange
[J]. Journal of Geophysical Research, 2006, 111: D08S07.

[1] 徐克林, 朱伟, 李艳冰. 配装-运输集成决策模型及其遗传算法[J]. J4, 2011, 45(9): 1630-1635.
[2] 陈婧, 张树有. 基于关联调度模型的模糊环境下车间动态调度[J]. J4, 2011, 45(2): 240-246.
[3] 董利达, 程曦浩, 郑寒. 基于工作流的安全库所替换网特性研究[J]. J4, 2010, 44(9): 1711-1718.
[4] 董利达, 郑寒, 程曦浩. 一类含T-图环结构受控网显式控制器设计[J]. J4, 2010, 44(6): 1057-1066.
[5] 丁春, 冯志勇. 面向波动复杂性的上下文预测[J]. J4, 2010, 44(2): 220-224.