Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Exploring Very Large State Spaces Using Genetic Algorithms
TACAS '02 Proceedings of the 8th International Conference on Tools and Algorithms for the Construction and Analysis of Systems
Cylindrical Echocardiographic Image Segmentation Based on 3D Deformable Models
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
GeCiM: A Novel Generalized Approach to C-Means Clustering
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Analysis of fiber orientation in normal and failing human hearts using diffusion tensor MRI
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Volumetric analysis of the heart using echocardiography
FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
Spatial visualization of the heart in case of ectopic beats and fibrillation
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
A survey of shaped-based registration and segmentation techniques for cardiac images
Computer Vision and Image Understanding
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This paper presents a patient specific deformable heart model that involves the known electrical and mechanical properties of the cardiac cells and tissue. The whole heart model comprises ten Tusscher's ventricular and Nygren's atrial cell models, the anatomical and electrophysiological model descriptions of the atria (introduced by Harrild et al.) and ventricle (given by Winslow et al.), and the mechanical model of the periodical cardiac contraction and resting phenomena proposed by Moireau et al. During the propagation of the depolarization wave, the kinetic, compositional and rotational anisotropy is handled by the tissue, organ and torso model. The applied patient specific parameters were determined by an evolutionary computation method. An intensive parameter reduction was performed using the abstract formulation of the searching space. This patient specific parameter representation enables the adjustment of deformable model parameters in real-time. The validation process was performed using simultaneously measured ECG and ultrasound image records that were compared with simulated signals and shapes using an abstract, parameterized evaluation criterion.