Dominic Morgan

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A method is described for generating a patient-specific, statistical motion model (SMM) of the prostate gland. Finite element analysis (FEA) is used to simulate the motion of the gland using an ultrasound-based 3D FE model over a range of plausible boundary conditions and soft-tissue properties. By applying principal component analysis to the displacements(More)
A direct approach to using finite element analysis (FEA) to predict organ motion typically requires accurate estimates of soft-tissue properties, which are very difficult to measure and are known to vary significantly between patients. In this paper, we describe a method that combines FEA with a statistical approach to overcome these problems. We show how a(More)
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