Advances in Radiotherapy PlanningAdvances 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. ChenBU: D. Castañón, B. MartinNU: D. Kaeli, H. WuMGH: G. Chen, G. Sharp, T. Bortfeld, S. JiangMSKCC: A. Jackson, E. Yorke, C-S. Chui, L. Hong, M. Lovelock

CT image acquisition

Optimization via inversetreatment planning

Treatment using linear accelerator

Intensity-Modulated RadiotherapyIntensity-Modulated Radiotherapy

Time-Consuming StepsTime-Consuming Steps

Manual segmentation (“contouring”) of every radiation-sensitive structure in each slice

Manual segmentation (“contouring”) of every radiation-sensitive structure in each slice

45 min

Expert-guided optimization of radiation intensity profiles to achieve clinical acceptability

Expert-guided optimization of radiation intensity profiles to achieve clinical acceptability

8+ hrs

Major Censsis ResultsMajor 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)

Manual vs. Automatic Plans and DosesManual vs. Automatic Plans and Doses

manual5-field plan(8 hours)

automatic 5-field plan

(30 minutes)

4D CT Visualization4D CT Visualization

• all working within SCIRun• 4-D movies with full volume rendering• physical measurements in 3-D• any clipping or filtering requested

Strategic Goals and SustainabilityStrategic 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