Yelin Suh and Paul Keall Stanford University - GSI

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Solving various approaches within a common framework Solve general solution Framework for solving general solution Limiting degrees of freedom Solve more constrained solutions Assess clinical benefit of the general vs. more constrained solutions to 4D IMRT treatment planning with dynamic MLC tracking for radiotherapy treatment of thoracic <strong>and</strong> abdominal tumors
Inhale Phase Dashed: after 3D optimization Solid: after 4D optimization 4D Plan Exhale Phase
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 17: 4D treatment planning that accounts
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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