Respiration induced organ motion during radiotherapy treatment delivery limits the capability for dose escalation and/or normal tissue sparing. The goal of this application is to improve the clinical outcome of radiotherapy for thoracic and abdominal tumors where respiratory motion is often an issue, by improving the precision of tumor localization during the treatment. This goal can be reached through the development of a well-engineered real-time tumor tracking system based an on-board x-ray imaging system that is currently being built by Massachusetts General Hospital (MGH) and Varian Medical Systems, Inc. (VMS). In the proposed project, through an expanded collaboration between MGH and VMS, we plan to develop a software framework and key function algorithms for the tracking system. The software framework will be developed by VMS by incorporating MGH's clinical perspectives, based on the framework of RPM Respiratory Gating System, a commercial product from VMS. Algorithms for the key functional blocks will be developed and tested mainly by MGH with technical assistance from VMS, using the software framework and the hardware platform as a test bed. he software framework and modules will be validated on the hardware platform using a computer-controlled dynamic phantom. The software system, combined with the hardware platform, will facilitate real-time tumor tracking with high precision and robustness. The system will be used for clinical trials to treat mobile tumors at MGH and can potentially be commercialized by VMS. The proposed project will greatly strengthen the relationship between MGH and VMS, leading to enhanced collaborative research activities as well as future research projects in the area of image guided radiotherapy.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21CA110177-01A1
Application #
6985219
Study Section
Special Emphasis Panel (ZCA1-SRRB-9 (M1))
Program Officer
Deye, James
Project Start
2005-08-01
Project End
2007-07-31
Budget Start
2005-08-01
Budget End
2006-07-31
Support Year
1
Fiscal Year
2005
Total Cost
$260,707
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Lin, Tong; Li, Ruijiang; Tang, Xiaoli et al. (2009) Markerless gating for lung cancer radiotherapy based on machine learning techniques. Phys Med Biol 54:1555-63
Lin, Tong; Cerviño, Laura I; Tang, Xiaoli et al. (2009) Fluoroscopic tumor tracking for image-guided lung cancer radiotherapy. Phys Med Biol 54:981-92
Xu, Qianyi; Hamilton, Russell J; Schowengerdt, Robert A et al. (2008) Lung tumor tracking in fluoroscopic video based on optical flow. Med Phys 35:5351-9
Cui, Ying; Dy, Jennifer G; Alexander, Brian et al. (2008) Fluoroscopic gating without implanted fiducial markers for lung cancer radiotherapy based on support vector machines. Phys Med Biol 53:N315-27
Cui, Ying; Dy, Jennifer G; Sharp, Gregory C et al. (2007) Multiple template-based fluoroscopic tracking of lung tumor mass without implanted fiducial markers. Phys Med Biol 52:6229-42
Xu, Qianyi; Hamilton, Russell J; Schowengerdt, Robert A et al. (2007) A deformable lung tumor tracking method in fluoroscopic video using active shape models: a feasibility study. Phys Med Biol 52:5277-93
Wu, Huanmei; Sharp, Gregory C; Zhao, Qingya et al. (2007) Statistical analysis and correlation discovery of tumor respiratory motion. Phys Med Biol 52:4761-74
Tang, Xiaoli; Sharp, Greg C; Jiang, Steve B (2007) Fluoroscopic tracking of multiple implanted fiducial markers using multiple object tracking. Phys Med Biol 52:4081-98
Cui, Ying; Dy, Jennifer G; Sharp, Greg C et al. (2007) Robust fluoroscopic respiratory gating for lung cancer radiotherapy without implanted fiducial markers. Phys Med Biol 52:741-55