Guy Nir1, Ramin S. Sahebjavaher1, Piotr Kozlowski2, Ralph Sinkus3, Septimiu E. Salcudean1
1Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada; 2MRI Research Centre, University of British Columbia, Vancouver, BC, Canada; 3Centre de Recherche Biomdicale Bichat-Beaujon (CRB3), Paris, France
We propose a novel method for registration of an ex vivo 3D model of a prostate to an in vivo MRI volumetric image. Such method may be employed to generate probability maps for prostate cancer distribution. The in vivo scan is followed by an MR elastography scan, from which the true elasticity parameters can be extracted and assigned to each voxel of the in vivo image. This allows a realistic regularization of a non-rigid registration method in order for it to produce physical and accurate deformation maps. Experiments on both synthetic and clinical data show promising results.
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