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Advances in Radiotherapy Planning Core problems: shape modeling image segmentation organ tracking radiation planning dose optimization Visualization Challenge: accelerate labor-intensive tasks without loss of performance Core problems: shape modeling image segmentation organ tracking radiation planning dose optimization Visualization Challenge: accelerate labor-intensive tasks without loss of performance RPI: R. Radke, Y. Jeong, R. Lu, S. Chen BU: D. Castañón, B. Martin NU: D. Kaeli, H. Wu MGH: G. Chen, G. Sharp, T. Bortfeld, S. Jiang MSKCC: A. Jackson, E. Yorke, C-S. Chui, L. Hong, M. Lovelock
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CT image acquisition Optimization via inverse treatment planning Treatment using linear accelerator Intensity-Modulated Radiotherapy
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Time-Consuming Steps Manual segmentation (“contouring”) of every radiation-sensitive structure in each slice 45 min Expert-guided optimization of radiation intensity profiles to achieve clinical acceptability 8+ hrs
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Major Censsis Results Fast, accurate segmentation of 3D CT in low contrast areas using clinically useful organ shape models Breast IMRT planning using machine learning minutes ! seconds Prostate IMRT planning (Posters R2D p5,6) Parameter-based sensitivity analysis, optimization, and machine learning hours ! minutes IMRT planning under location/shape uncertainty (Poster R2D p9) New algorithms that speed up plans by 20X State-of-the-art 4D visualization (Poster R3B p3) Fast, accurate segmentation of 3D CT in low contrast areas using clinically useful organ shape models Breast IMRT planning using machine learning minutes ! seconds Prostate IMRT planning (Posters R2D p5,6) Parameter-based sensitivity analysis, optimization, and machine learning hours ! minutes IMRT planning under location/shape uncertainty (Poster R2D p9) New algorithms that speed up plans by 20X State-of-the-art 4D visualization (Poster R3B p3)
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Manual vs. Automatic Plans and Doses manual 5-field plan (8 hours) automatic 5- field plan (30 minutes)
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4D CT Visualization all working within SCIRun 4-D movies with full volume rendering physical measurements in 3-D any clipping or filtering requested
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Strategic Goals and Sustainability IMRT availability has exploded since 2001 Human involvement is a speed bottleneck at several critical points (contouring, planning) CenSSIS algorithms can assist by improving speed without sacrificing quality Goal: Incorporation of CenSSIS results in IMRT Tech transfer through MGH and MSKCC: leaders in IMRT Integration into treatment planning system vendors Sustainability plans $1.4M R01 proposal submitted to NCI R21 proposals in development Extension of results to other treatment areas IMRT availability has exploded since 2001 Human involvement is a speed bottleneck at several critical points (contouring, planning) CenSSIS algorithms can assist by improving speed without sacrificing quality Goal: Incorporation of CenSSIS results in IMRT Tech transfer through MGH and MSKCC: leaders in IMRT Integration into treatment planning system vendors Sustainability plans $1.4M R01 proposal submitted to NCI R21 proposals in development Extension of results to other treatment areas
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