TY - CHAP
T1 - Personalization of Cubic Hermite Meshes for Efficient Biomechanical Simulations
AU - Lamata de la Orden, Pablo
AU - Niederer, SA
AU - Barber, DC
AU - Nordsletten, D
AU - Lee, J
AU - Hose, DR
AU - Smith, NP
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
U2 - 10.1007/978-3-642-15745-5_47
DO - 10.1007/978-3-642-15745-5_47
M3 - Conference paper
SN - 978-3-642-15744-8
VL - 6362
T3 - Lecture Notes in Computer Science
SP - 380
EP - 387
BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
ER -