Integrating functional and structural images for simultaneous cardiac segmentation and deformation recovery.

Because of their physiological meaningfulness, cardiac physiome models have been used as constraints to recover patient information from medical images. Although the results are promising, the parameters of the physiome models are not patient-specific, and thus affect the clinical relevance of the recovered information especially in pathological cases. In view of this problem, we incorporate patient information from body surface potential maps in the physiome model to provide a more patient-specific while physiological plausible guidance, which is further coupled with patient measurements derived from structural images to recover the cardiac geometry and deformation simultaneously. Experiments have been conducted on synthetic data to show the benefits of the framework, and on real human data to show its practical potential.