"This monograph is a comprehensive reference on rigorous mathematical solutions to a central challenge of radiotherapy: how to maximize tumor-kill while protecting nearby healthy tissue from toxic effects. These solutions may guide treatment planners in deciding the number of sessions and doses administered via each available radiation modality"--
"This monograph is a comprehensive reference on rigorous mathematical solutions to a central challenge of radiotherapy: how to maximize tumor-kill while protecting nearby healthy tissue from toxic effects. These solutions may guide treatment planners in deciding the number of sessions and doses administered via each available radiation modality"--Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Archis Ghate is a Professor of Industrial & Systems Engineering at the University of Washington, where he previously served for five years as the College of Engineering Endowed Professor of Healthcare Operations Research. His research focuses on optimization. He received a PhD in Industrial and Operations Engineering from the University of Michigan in 2006 and an M.S. in Management Science and Engineering from Stanford University in 2003.
Inhaltsangabe
Preface 1. Introduction 2. Fractionation with a single organ-at-risk 3. Fractionation with multiple organs-at-risk 4. Robust fractionation 5. Inverse fractionation 6. Spatiotemporally integrated fractionation 7. Robust spatiotemporally integrated fractionation 8. Fractionation with two modalities 9. Robust fractionation with two modalities 10. Directions for future work Appendix Background on optimization Bibliography Index.
Preface 1. Introduction 2. Fractionation with a single organ-at-risk 3. Fractionation with multiple organs-at-risk 4. Robust fractionation 5. Inverse fractionation 6. Spatiotemporally integrated fractionation 7. Robust spatiotemporally integrated fractionation 8. Fractionation with two modalities 9. Robust fractionation with two modalities 10. Directions for future work Appendix Background on optimization Bibliography Index.
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