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Publication Detail
MR to ultrasound image registration for guiding prostate biopsy and interventions
  • Publication Type:
  • Authors:
    Hu Y, Ahmed HU, Allen C, Pendsé D, Sahu M, Emberton M, Hawkes D, Barratt D
  • Publication date:
  • Pagination:
    787, 794
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    5761 LNCS
  • Issue:
    PART 1
  • ISBN-10:
  • ISBN-13:
  • Status:
  • Print ISSN:
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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