DBP3:MGH

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Introduction

NA-MIC and MGH Radiation Oncology are collaborating on a Driving Biological Project to provide tools for adaptive radiotherapy in 3D Slicer. Adaptive radiotherapy is the process of adapting a radiotherapy treatment plan to account for changes in patient anatomy. We aim to provide the engineering and algorithms needed for custom

This wiki page describes our plans and progress.

For details on the background and goals, please see the project web page.

For a more extensive wishlist, see the planning meeting notes

Research Plan

The overall goal of the project is to improve the capabilities for

• 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

• Pushing CMake module bug fixes upstream
• Window/level slider bug 1047
• Add mode compositing glitches 1048 1049

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