NA-MIC/Projects/Collaboration/MGH RadOnc Summer 2008

Return to Project Week Main Page

Registration of abdomen.

Key Investigators

• MGH: Greg Sharp, Marta Peroni
• NA-MIC: Steve Pieper, Wendy Plesniak
• BWH: Nicole Aucoin (fiducials), Katie Hayes (CTest)

Objective

The long term objective is to improve interactive tools for radiation therapy planning. Specifically, we would like to improve the reliability and usability of image registration and segmentation of critical organs.

Approach, Plan

Workshop goals

• Complete the CLP interface between our in-house registration software (plastimatch) and slicer3
• Get ideas how the user interface can be implemented
• Learn how to interface with slicer3 fiducial and label maps for interactive deformable registration
• Learn how CTest can be used for automated testing

Progress

Since last year

• Plastimatch software released under open source software license (BSD-style).
• The scaffolding code for slicer3 CLP is implemented, but not working because plastimatch doesn't read nrrd (yet).

Progress

Simple GUI for plastimatch

Registration output in Slicer

Conversion of DICOM RT structures

Progress

• Working CLP program
• Got fiducials from Slicer -- Wow!
• Preliminary CTest interface
• DicomRT contour conversion

Todo

• Convert from CLP to scriptable or loadable module
• Improved visualization of registration output
• Improved interactivity of fiducials
• Export of deformed contours to DicomRT

References

• GC Sharp, Z Wu, N Kandasamy, "A Data Structure for B-Spline Registration," AAPM 50, Houston TX, July 2008.
• V Boldea, GC Sharp, SB Jiang, D Sarrut, “4D-CT lung motion estimation with deformable registration: quantification of motion nonlinearity and hysteresis,” Medical Physics, Vol 35, No 3, pp 1008-1018, March 2008.
• Z Wu, E Rietzel, V Boldea, D Sarrut, GC Sharp, "Evaluation of deformable registration of patient lung 4DCT with sub-anatomical region segmentations," Medical Physics, Vol 35, No 2, pp 775-81, February 2008.
• GC Sharp, N Kandasamy, H Singh, M Folkert, "GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration,” Physics in Medicine and Biology, Vol 52, No 19, pp 5771--83, October 7, 2007.