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Registration of In Vivo Prostate Magnetic Resonance Images to Digital Histopathology Images

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6367)

Abstract

Early and accurate diagnosis of prostate cancer enables minimally invasive therapies to cure the cancer with less morbidity. The purpose of this work is to non-rigidly register in vivo pre-prostatectomy prostate medical images to regionally-graded histopathology images from post-prostatectomy specimens, seeking a relationship between the multi parametric imaging and cancer distribution and aggressiveness. Our approach uses image-based registration in combination with a magnetically tracked probe to orient the physical slicing of the specimen to be parallel to the in vivo imaging planes, yielding a tractable 2D registration problem. We measured a target registration error of 0.85 mm, a mean slicing plane marking error of 0.7 mm, and a mean slicing error of 0.6 mm; these results compare favourably with our 2.2 mm diagnostic MR image thickness. Qualitative evaluation of in vivo imaging-histopathology fusion reveals excellent anatomic concordance between MR and digital histopathology.

Keywords

Target Registration Error Digital Readout Histopathology Image Prostate Specimen Canadian Cancer Society 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Robarts Research InstituteCanada
  2. 2.Department of Medical BiophysicsCanada
  3. 3.Biomedical Engineering Graduate ProgramUS
  4. 4.Department of PathologyUS
  5. 5.Department of OncologyThe University of Western OntarioLondonCanada
  6. 6.Lawson Health Research InstituteLondonCanada

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