Prostate Biopsy Assistance System with Gland Deformation Estimation for Enhanced Precision

  • Authors:
  • Michael Baumann;Pierre Mozer;Vincent Daanen;Jocelyne Troccaz

  • Affiliations:
  • TIMC laboratory, Université J.Fourier, CNRS, UMR 5525, Grenoble, France and Koelis SAS, La Tronche, France 38700;urology dpt, La Pitié-Salpêtrière hospital, Paris Cedex 13, France 75651;Koelis SAS, La Tronche, France 38700;TIMC laboratory, Université J.Fourier, CNRS, UMR 5525, Grenoble, France

  • Venue:
  • MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
  • Year:
  • 2009

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Abstract

Computer-assisted prostate biopsies became a very active research area during the last years. Prostate tracking makes it possible to overcome several drawbacks of the current standard transrectal ultrasound (TRUS) biopsy procedure, namely the insufficient targeting accuracy which may lead to a biopsy distribution of poor quality, the very approximate knowledge about the actual location of the sampled tissues which makes it difficult to implement focal therapy strategies based on biopsy results, and finally the difficulty to precisely reach non-ultrasound (US) targets stemming from different modalities, statistical atlases or previous biopsy series. The prostate tracking systems presented so far are limited to rigid transformation tracking. However, the gland can get considerably deformed during the intervention because of US probe pressure and patient movements. We propose to use 3D US combined with image-based elastic registration to estimate these deformations. A fast elastic registration algorithm that copes with the frequently occurring US shadows is presented. A patient cohort study was performed, which yielded a statistically significant in-vivo accuracy of 0.83±0.54mm.