LDeform: Longitudinal deformation analysis for adaptive radiotherapy of lung cancer
Abstract
Conventional radiotherapy for large lung tumors is given over several weeks, during which the tumor typically regresses in a highly nonuniform and variable manner. Adaptive radiotherapy would ideally follow these shape changes, but we need an accurate method to extrapolate tumor shape changes. We propose a computationally efficient algorithm to quantitate tumor surface shape changes that makes minimal assumptions, identifies fixed points, and can be used to predict future tumor geometrical response.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 26, 2019
- Source ID
- 10.1002/mp.13907
Entities
People
- Allen Tannenbaum
- Andreas Rimner
- Jan‐jakob Sonke
- Joseph O. Deasy
- Pengpeng Zhang
- Saad Nadeem
Organizations
- Adyar Cancer Institute
- Air Force Office of Scientific Research
- Army Research Office
- Memorial Sloan Kettering Cancer Center
- National Institutes of Health
- Stony Brook University
- The Breast Cancer Research Foundation