Projects:DBP3:MGH PlanningMeeting

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DBP Science

  • Goal: Scientific evidence for or against adaptive proton-beam radiotherapy in the base of skull region
  • Require: Update literature review
  • Recommend: Study to quantify geometry of anatomic differences
  • Require: Comparison study of delivered vs. planned dose
  • Require: Comparison study of delivered vs. adaptive dose
  • Wishlist: Comparison study of IMRT vs. protons

Engineering

See: http://www.na-mic.org/Wiki/index.php/EngineeringRetreat2010

Image Registration

  • Goal: Multiple slicer plugins for registration
  • Recommend: Experimental evaluation of existing registration methods
  • Require: Interactive registration (landmark splines)
  • Recommend: Regularized B-splines
  • Recommend: B-splines with landmark constraints
  • Recommend: B-splines with surface constraints
  • Wishlist: Parameter-free registration
  • Wishlist: Image-free surface registration
  • Wishlist: Parallel optimization

Image Segmentation

  • Goal: Slicer plugin for automatic segmentation
  • Require: Contour propagation for intra-subject segmentation
  • Recommend: Automatic segmentation (atlas-based) for inter-subject segmentation
  • Recommend: Automatic segmentation (model-based) for inter-subject segmentation
  • Wishlist: Contour interpolation methods for interactive segmentation

Radiotherapy Workflow

  • Goal: Reasonably complete workflow, including dose review and comparison tools
  • Require: Labelmap that can handle overlapping structures
  • Require: Visualization of RT dose (2D, as isodose lines, with legend)
  • Wishlist: Visualization of RT dose (3D, w/ Shadie)
  • Require: DICOM improvements (CT export, DICOM-RT import/export)
  • Require: Compute dose volume histograms
  • Recommend: Margin tools
  • Wishlist: Visualize dose volume histograms
  • Require: Better support for extensions
  • Recommend: MRML node for registration
  • Recommend: MRML node for patient demographics
  • Wishlist: Unevely spaced CT
  • Wishlist: Vector field visualization
  • Wishlist: DICOM Network I/O

Data

  • Goal: 50 cases for inter-subject segmentation
  • Goal: 30 cases for intra-subject registration
  • Require: New retrospective IRB
  • Require: Careful QA of segmentation data
  • Require: Validation data for registration studies

Outreach

  • Require: Symposium or tutorial at major conference
  • Require: Hands-on tutorial at MGH
  • Require: On-line tutorials for radiotherapy workflow
  • Recommend: User's group meeting at major conference

Personnel

  • MGH: Greg Sharp, Annie Chan, George TY Chen, Nadya Shusharina, Rui Li, Ken Westover, Itai Pashtan, John Wolfgang
  • MIT: Polina Golland, Michal Depa
  • GT: Allen Tannenbaum, Ivan Kolesov
  • Isomics: Steve Pieper