2016 Summer Project Week/Intra-procedural prostate motion characterization

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Home < 2016 Summer Project Week < Intra-procedural prostate motion characterization

Key Investigators

  • Peter Behringer
  • Christian Herz
  • Soichiro Tani
  • Andrey Fedorov

Project Description


We are working on retrospectively analyzing image data collected during prostate biopsy cases conducted at BWH in order to characterize prostate motion and investigate factors that can be used to explain motion patterns.

Approach, Plan

  • Data for 250+ biopsy cases (2600+ pairs of images to be registered) has been organized, pre-processed and registered using earlier developed tools
  • Web-based interface for registration quality evaluation has been developed and applied
  • Prostate motion was summarized by applying the deformable registration transforms to the location of the prostate centroid. In-plane and 3d motion, with and without compensation for pelvis motion, was summarized.
  • Initial results of the analysis have been summarized to be presented in Peter's thesis.
  • The main goal of this project is just to get feedback and talk with interested people (2016_Summer_Project_Week/CameraTutorial is the the main project for Peter), and to work on a manuscript


  • details of the study have been discussed with those interested
  • next steps for preparing the journal manuscript have been finalized
  • new project that could leverage the data collected has been identified


  • Penzkofer T., Tuncali K., Fedorov A., Song S-E., Tokuda J., Fennessy FM., Vangel MG., Kibel AS., Mulkern RV., Wells WM., Hata N., Tempany CMC. 2015. Transperineal in-bore 3-T MR imaging-guided prostate biopsy: a prospective clinical observational study. Radiology 274:170–180. DOI: 10.1148/radiol.14140221.
  • Behringer P., Herz C., Penzkofer T., Tuncali K., Tempany C., Fedorov A. 2015. Open-­source Platform for Prostate Motion Tracking during in­-bore Targeted MRI­-guided Biopsy. In: MICCAI Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging. DOI: 10.1007/978-3-319-31808-0_15. http://www.spl.harvard.edu/publications/item/view/2853