Yelin Suh and Paul Keall Stanford University - GSI

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Ideal?? Deliverable!! Extend 3D IMRT treatment planning to 4D with deliverable constraints
4D treatment planning that accounts for 3D target motion by applying real-time dynamic MLC motion-tracking algorithm Suh et al. “4D IMRT treatment planning using a dynamic MLC motion-tracking algorithm,” Phys Med Biol 54: 3821-35, 2009 * Accounting for 1D motion along the major axis was previously published. Suh et al. “A deliverable 4D IMRT planning method for dynamic MLC tumor tracking delivery,” Int J Radiat Oncol Biol Phys 71: 1526-36, 2008 Robust to the variations of fractional time spent in phases within 4D CT Not optimal, but deliverable with currently available technology Clear path to clinical implementation by using the same algorithm between planning and delivery for determining MLC leaf sequences
Page 1 and 2: Yelin Suh and Paul Keall Stanford U
Page 4: Motion in radiotherapy “Respirati
Page 8: 3D 4D Planning Delivery 3D CT Leaf
Page 11: 4D IMRT treatment planning with dyn
Page 20 and 21: Solving various approaches within a
Page 22 and 23: Inhale Phase Dashed: after 3D optim
Page 25 and 26: To experimentally investigate 4D tr
Page 27: 4D Planning Delivery 4D CT Leaf Seq
Page 30 and 31: Static delivery Same motion during
Page 32 and 33: Using motion as a degree of freedom

Yelin Suh and Paul Keall Stanford University - GSI

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