Validation of direct registration of whole-mount prostate digital histopathology to ex vivo MR images

  • Authors:

  • Eli Gibson;Cathie Crukley;José Gomez;Madeleine Moussa;Joseph L. Chin;Glenn Bauman;Aaron Fenster;Aaron D. Ward

  • Affiliations:

  • Robarts Research Institute, London, Canada;Robarts Research Institute, London, Canada and Lawson Health Research Institute, London, Canada;Department of Pathology, The University of Western Ontario, London, Canada;Department of Pathology, The University of Western Ontario, London, Canada;Department of Urology, The University of Western Ontario, London, Canada;Lawson Health Research Institute, London, Canada and Department of Oncology, The University of Western Ontario, London, Canada;Robarts Research Institute, London, Canada and Lawson Health Research Institute, London, Canada and Department of Oncology, The University of Western Ontario, London, Canada and Department of Medi ...;Lawson Health Research Institute, London, Canada

  • Venue:
  • MICCAI'11 Proceedings of the 2011 international conference on Prostate cancer imaging: image analysis and image-guided interventions
  • Year:
  • 2011

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Abstract

Accurate determination of cancer stage and grade from in vivo prostate imaging could improve biopsy guidance, therapy selection and, possibly, focal therapy guidance. Validating prostate cancer imaging ideally requires accurate 3D registration of in vivo imaging to histopathology, which is facilitated by intermediate histology-ex vivo imaging registration. This work introduces and evaluates a direct registration with fiducialbased local refinement of digital prostate histopathology to ex vivo magnetic resonance (MR) images that obviates three elements typical of existing methods: (1) guidance of specimen slicing, (2) imaging/photography of sliced tissue blocks, and (3) registration guidance based on anatomical image features. The mean target registration error (TRE) of 98 intrinsic landmarks across 21 histology images was calculated for the proposed direct registration (0.7 mm) and compared to existing approaches: indirect using tissue block MR images (0.8 mm) and image-guided-slicing-based (1.0 mm). The local refinement was also shown to improve existing approaches to achieve a similar mean TRE (0.7 mm).