MR to ultrasound image registration for guiding prostate biopsy and interventions

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Abstract

A method is described for registering preoperative magnetic resonance (MR) to intraoperative transrectal ultrasound (TRUS) images of the prostate gland. A statistical motion model (SMM) of the prostate is first built using training data provided by biomechanical simulations of the motion of a patient-specific finite element model, derived from a preoperative MR image. The SMM is then registered to a 3D TRUS image by maximising the likelihood of the shape of an SMM instance given a voxel-intensity-based feature, which represents an estimate of normal vector at the surface of the prostate gland. Using data acquired from 7 patients, the accuracy of registering T2 MR to 3D TRUS images was evaluated using anatomical landmarks inside the gland. The results show that the proposed registration method has a root-mean-square target registration error of 2.66 mm. © 2009 Springer-Verlag.

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Hu, Y., Ahmed, H. U., Allen, C., Pendsé, D., Sahu, M., Emberton, M., … Barratt, D. (2009). MR to ultrasound image registration for guiding prostate biopsy and interventions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5761 LNCS, pp. 787–794). https://doi.org/10.1007/978-3-642-04268-3_97

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