NIH R01 (PA 11-260): DASSIM-RT and Compressed Sensing-Based Inverse Planning Project Summary The goal of this project is to establish a novel paradigm of dense angularly sampled and sparse intensity- modulated radiation therapy (DASSIM-RT). In this scheme, the redundant or dispensable modulation of the incident intensity-modulated beams is removed effectively by using a compressed sensing (CS) technique. The delivery time saved in this way is used to increase the angular sampling for improved dose conformality. By balancing the angular sampling and intensity modulation, DASSIM-RT enables us to fully utilize the technical capabilities of modern digital linacs to produce highly conformal dose distributions that can be delivered efficiently. Specifically, we will 1) set up a compressed sensing (CS)-based framework for inverse treatment planning;2) investigate a new type of treatment scheme termed DASSIM-RT;and 3) show the advantage of DASSIM-RT through a series of phantom cases and previously treated patients. DASSIM-RT represents a truly optimal RT scheme with uncompromised angular sampling (including non-coplanar beams), beam intensity modulation, and possible field-specific energy and collimator angle. If successful, the project will allow us to overcome many of the limitations of existing treatment schemes to meet the unmet clinical demand for highly conformal dose distributions in radiation oncology.

Public Health Relevance

This project is directed at establishing a dense angularly sampled and sparse intensity modulated radiation therapy (DASSIM-RT) scheme to advance RT treatment techniques to a new paradigm. The project will develop enabling concepts and technologies including: compressed sensing-based inverse planning, DASSIM-RT, single arc delivery scheme of DASSIM-RT, and prior knowledge guided search of optimal beam configuration. The proposed research promises to overcome many of the limitations of existing treatment schemes and empower the radiation oncology discipline with substantially improved tools for cancer management.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Project (R01)
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Radiation Therapeutics and Biology Study Section (RTB)
Program Officer
Capala, Jacek
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Stanford University
Schools of Medicine
United States
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Lu, Jia-Yang; Huang, Bao-Tian; Xing, Lei et al. (2016) Dosimetric analysis of isocentrically shielded volumetric modulated arc therapy for locally recurrent nasopharyngeal cancer. Sci Rep 6:25959
Dong, P; Ungun, B; Boyd, S et al. (2016) Optimization of rotational arc station parameter optimized radiation therapy. Med Phys 43:4973
Jenkins, Cesare H; Naczynski, Dominik J; Yu, Shu-Jung S et al. (2016) Automating quality assurance of digital linear accelerators using a radioluminescent phosphor coated phantom and optical imaging. Phys Med Biol 61:L29-37
Unkelbach, Jan; Bortfeld, Thomas; Craft, David et al. (2015) Optimization approaches to volumetric modulated arc therapy planning. Med Phys 42:1367-77
Ahmad, Moiz; Xiang, Liangzhong; Yousefi, Siavash et al. (2015) Theoretical detection threshold of the proton-acoustic range verification technique. Med Phys 42:5735-44
Zarepisheh, Masoud; Li, Ruijiang; Ye, Yinyu et al. (2015) Simultaneous beam sampling and aperture shape optimization for SPORT. Med Phys 42:1012-22
Bazalova-Carter, Magdalena; Ahmad, Moiz; Matsuura, Taeko et al. (2015) Proton-induced x-ray fluorescence CT imaging. Med Phys 42:900-7
Kim, Hojin; Li, Ruijiang; Lee, Rena et al. (2015) Beam’s-eye-view dosimetrics (BEVD) guided rotational station parameter optimized radiation therapy (SPORT) planning based on reweighted total-variation minimization. Phys Med Biol 60:N71-82
Chen, Xin; Bush, Karl; Ding, Aiping et al. (2015) Independent calculation of monitor units for VMAT and SPORT. Med Phys 42:918-24
Ding, Aiping; Xing, Lei; Han, Bin (2015) Development of an accurate EPID-based output measurement and dosimetric verification tool for electron beam therapy. Med Phys 42:4190-8

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