Goal: use of combined modality therapy in the treatment of diseases of the GI tract, and assessing possible biological indicators of treatment response.

Goal: deform prostate to avoid high dose to the anterior wall of the rectum

Goal: use a team approach to review cases before treatment begins, rather than after treatment decisions have been made.

Goal: create a free application for segmentation and registration of image sequences in IGRT and ART.

Goal: provide PLanUNC source code to any researcher who wants to enhance it for their own radiotherapy experiments.

Goal: merge US with MR to visualize targets for biopsy needles, radioactive seeds and ablation instruments.

Goal: predict a patient’s breathing cycle to account for motion during planning and treatment

Goal: to reduce user variability that can affect clinical decisions by statistically training shape models representing internal organs for better targeting.

M-reps provide a framework for automatically building 3D hexahedral meshes to compute physically correct mechanical deformations via the Finite Element Method (FEM). This approach is being used in clinical studies involving CT and MR images for brachytherapy dosimetry by collaborators at Memorial Sloan Kettering Cancer Center.

Goal: register QA films to improve cumulative dose estimate