2009 Summer Project Week Transrectal Prostate biopsy
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Prostate segmentation integrated inside TR Prostate biopsy interactive module
Shape base prostate segmentation in Slicer through command line module.
Key Investigators
- Gabor Fichtinger, Purang Abolmaesumi, Andras Lasso, Siddharth Vikal; Queen’s University
- Allen Tannenbaum, Yi Gao; Georgia Tech
- Nobuhiko Hata, Junichi Tokuda; BWH
Objective
- Prostate segmentation: Integrate latest developments of the prostate segmentation algorithms into a standalone Slicer module and into the prostate biopsy robot module and create tutorial and tests.
- Prostate robotics softare: Prepare the merge of the two prostate robotics Slicer modules: TRProstateBiopsy and ProstateNav.
Approach, Plan
- Prostate segmentation: Algorithm 1. is a Shape based segmentation. The shape of prostates are learned and then the new image is segmented using the shapes learned. Algorithm 2. is based on the Random Walks segmentation algorithm. It need more human input but the result could be interactively improved arbitrarily close to user's expectation.
- Prostate robotics: Select one prostate robotics module as a base, and copy all the missing functionalities from the other module.
Progress
- During the 2009 Winter Project Week a preliminary version of the segmentation algorithms were already integrated.
- Design discussions with the ProstateNav developers and porting of some functionality (secondary monitor support) are already started.
