Loading and segmentation of histopathology imaging for radiological-pathological correlation

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  Projects List

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Key Investigators

• SPL: Tobias Penzkofer, Andrey Fedorov

Objective

To enable Slicer 4 to load, view and process histopathology data.

Approach, Plan

Find, analyze and adapt the routines responsible for 3 channel image handling to enable processing of scanned histology slides with possible extensions towards registration of histo/path, digital pathology imaging and analysis.

Specifically we would like to be able:

• loading / saving of Slicer scenes that contain RGB volumes
• masking and segmentation of RGB volumes in Editor

Progress

Possible solutions have been identified (DCM Convert, Downsampling, NRRD file format save) and applied. Reasons for Slicer not supporting Vector Data in the Editor have been identified (Threshold algorithm). Slicer native import algorithm can provide a solution for many problems (if fixed).

Bug report submitted: http://www.na-mic.org/Bug/view.php?id=2225 (current Slicer does not correctly load and display PNG image date)

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

1. Slicer Module
   1. Built-in YES
   2. Extension -- commandline NO
   3. Extension -- loadable PROBABLY
2. Other (Please specify)

References

• Trivedi, H., B. Turkbey, et al. (2012). "Use of patient-­‐specific MRI-­‐based prostate mold for validation of multiparametric MRI in localization of prostate cancer." Urology 79(1): 233-­‐239.
• "Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information." Med Phys 38(4): 2005-­‐2018.
• "Semi-­‐automatic deformable registration of prostate MR images to pathological slices." J Magn Reson Imaging 32(5): 1149-­‐1157.