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The Effects of Young’s Modulus on Predicting Prostate Deformation for MRI-guided Interventions

Institution:
1Intelligent Systems for Medicine Laboratory, The University of Western Australia, Crawley/Perth, Western Australia, Australia.
2Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2010
Publication Date:
Sep-2010
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2010 Sep;13(WS); Workshop on Computational Biomechanics for Medicine
Presented at:
MICCAI 2010 Workshop on Computational Biomechanics for Medicine
Keywords:
prostate cancer, image-guided interventions, Intraoperative deformations, biomechancal modeling, Intraoperative image registration
ISBN:
978-1-4419-9618-3
Appears in Collections:
Prostate Group, NCIGT, SLICER, SNR, SPL
Sponsors:
Australian Research Council Grants DP0664534, DP1092893, DP0770275, DP1092893, LX0774754
R01 CA111288/CA/NCI NIH HHS/United States
Generated Citation:
McAnearney S., Fedorov A., Joldes G., Hata N., Tempany C.M., Miller K., Wittek A. The Effects of Young’s Modulus on Predicting Prostate Deformation for MRI-guided Interventions. Int Conf Med Image Comput Comput Assist Interv. 2010 Sep;13(WS); Workshop on Computational Biomechanics for Medicine
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Accuracy of image-guided prostate interventions can be improved by warping (i.e. non-rigid registration) of high-quality multi-modal pre-operative Magnetic Resonance Images to the intra-operative prostate geometry. Patient-specific biomechanical models have been applied in several studies when predicting the prostate intra-operative deformations for such warping. Obtaining exact patient-specific information about the stress parameter (e.g. Young’s modulus) of the prostate peripheral zone (PZ) and central gland (CG) for such models remains an unsolved problem. In this study, we investigated the effects of ratio of Young’s modulus of the central gland ECG to the peripheral zone EPZ when predicting the prostate intra-operative deformation for 10 cases of prostate brachytherapy. The patient-specific prostate models were implemented by means of the specialized non-linear finite element procedures that utilize Total Lagrangian formulation and Explicit Integration in time domain. The loading was defined by prescribing deformations on the prostate outer surface. The neo-Hookean hyperelastic constitutive model was applied to simulate the PZ and CG mechanical responses. The PZ to CG Young’s modulus ratio ECG:EPZ was varied between 1:1 (upper bound of the literature data) to 1:40 (lower bound of the literature data). The study indicates that the predicted prostate intra-operative deformations and results of the prostate MRIs non-rigid registration obtained using the predicted deformations depend very weakly on the ECG:EPZ ratio.

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