A framework for predicting three‐dimensional prostate deformation in real time

Surgical simulation systems can be used to estimate soft tissue deformation during pre‐ and intra‐operative planning. Such systems require a model that can accurately predict the deformation in real time. In this study, we present a back‐propagation neural network for predicting three‐dimensional (3D) deformation of a phantom that incorporates the anatomy of the male pelvic region, i.e. the prostate and surrounding structures that support it.

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