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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations
verfasst von : Pablo Lamata, Steven Niederer, David Barber, David Norsletten, Jack Lee, Rod Hose, Nic Smith
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Verlag: Springer Berlin Heidelberg
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Cubic Hermite meshes provide an efficient representation of anatomy, and are useful for simulating soft tissue mechanics. However, their personalization can be a complex, time consuming and labour-intensive process. This paper presents a method based on image registration and using an existing template for deriving a patient-specific cubic Hermite mesh. Its key contribution is a solution to customise a Hermite continuous description of a shape with the use of a discrete warping field. Fitting accuracy is first tested and quantified against an analytical ground truth solution. To then demonstrate its clinical utility, a generic cubic Hermite heart ventricular model is personalized to the anatomy of a patient, and its mechanical stability is successfully tested. The method achieves an easy, fast and accurate personalization of cubic Hermite meshes, constituting a crucial step for the clinical adoption of physiological simulations.