NA-MIC/Projects/Collaboration/MGH RadOnc

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Regression of FA data; solid line represents the mean and dotted lines the standard deviation.

Key Investigators

• MGH: Greg Sharp, Marta Peroni
• NA-MIC: Steve Pieper, Wendy Plesniak

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.

Approach, Plan

The first goal is to complete the CLP interface between our in-house registration software (plastimatch) and slicer3, and get ideas how the user interface can be implemented. The second goal is to learn how plastimatch can interface to the fiducial and label maps for interactive deformable registration.

In addition, we will investigate how CTest can be used for automated testing.

Progress

Since last year, we have made quite a bit of progress. (1) Plastimatch deformable registration is now available as an open source software under a BSD-style license. (2) The scaffolding code to implement plastimatch as a slicer3 CLP is complete, though not yet working because plastimatch doesn't read nrrd (yet).

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.