This proposal requests support for the development of the first clinically practical, flat-panel, solid-state, digital imager for real-time radiotherapy treatment verification. The imager will be based upon a new imaging technology being pioneered by the investigators involving thin-film transistors and sensors. The imager will have an optically sensitive area approximately 46 cm by 50 cm consisting of 1024 x 1120 pixels. This surface will be made up of four 23 cm by 25 cm self-scanning, solid state detector arrays. Each array will comprise 512x560 imaging pixels arranged in a regular two-dimensional pattern with a pixel pitch of 0.450 mm. Each pixel will consist of a hydrogenated amorphous silicon (a-Si:H) photodiode coupled to an a-Si:H field effect transistor. The imager, when used in conjunction with a metal plate/phosphor screen (or with a thick crystalline scintillator) and with a readout system to be developed in this project, will permit imaging at frame rates from 4 frames per second to 1 frame over the entire treatment dose. The imager will be very compact with a thickness approaching that of a radiographic film-cassette. It will offer high resolution, high quality images limited only by the incident detected radiation quanta thereby facilitating real-time verification of the treatment setup. Studies of the array signal properties as well as observer-independent performance variable measurements (MTF, DQE, NPS, SNR) will be performed in order to understand and optimize the performance of the imager. Studies will be performed to assess the extent to which the imager facilitates the evaluation of object displacement and to see how low the imaging dose may be set while still producing a clinically acceptable image quality. The successful completion of this project will result in a highly compact, clinically practical imager whose image quality will be better than that of existing camera-fluoroscopy imagers and, possibly, even rivaling that of film. With such attributes, the imager will provide the first example of a new generation of portal imagers which will serve as a powerful new tool in the difficult problem of radiotherapy treatment verification.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
2R01CA051397-04
Application #
3196094
Study Section
Special Emphasis Panel (SSS (R3))
Project Start
1990-02-01
Project End
1997-01-31
Budget Start
1993-02-01
Budget End
1994-01-31
Support Year
4
Fiscal Year
1993
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
Schools of Medicine
DUNS #
791277940
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
El-Mohri, Youcef; Antonuk, Larry E; Choroszucha, Richard B et al. (2014) Optimization of the performance of segmented scintillators for radiotherapy imaging through novel binning techniques. Phys Med Biol 59:797-818
Liu, Langechuan; Antonuk, Larry E; El-Mohri, Youcef et al. (2014) Optimization of the design of thick, segmented scintillators for megavoltage cone-beam CT using a novel, hybrid modeling technique. Med Phys 41:061916
Jiang, Hao; Zhao, Qihua; Antonuk, Larry E et al. (2013) Development of active matrix flat panel imagers incorporating thin layers of polycrystalline HgI(2) for mammographic x-ray imaging. Phys Med Biol 58:703-14
Liu, Langechuan; Antonuk, Larry E; Zhao, Qihua et al. (2012) Countering beam divergence effects with focused segmented scintillators for high DQE megavoltage active matrix imagers. Phys Med Biol 57:5343-58
El-Mohri, Youcef; Antonuk, Larry E; Zhao, Qihua et al. (2011) Low-dose megavoltage cone-beam CT imaging using thick, segmented scintillators. Phys Med Biol 56:1509-27
Zhao, Qihua; Antonuk, Larry E; El-Mohri, Youcef et al. (2010) Performance evaluation of polycrystalline HgI2 photoconductors for radiation therapy imaging. Med Phys 37:2738-48
Wang, Yi; El-Mohri, Youcef; Antonuk, Larry E et al. (2010) Monte Carlo investigations of the effect of beam divergence on thick, segmented crystalline scintillators for radiotherapy imaging. Phys Med Biol 55:3659-73
Wang, Yi; Antonuk, Larry E; Zhao, Qihua et al. (2009) High-DQE EPIDs based on thick, segmented BGO and CsI:Tl scintillators: performance evaluation at extremely low dose. Med Phys 36:5707-18
Wang, Yi; Antonuk, Larry E; El-Mohri, Youcef et al. (2009) A Monte Carlo investigation of Swank noise for thick, segmented, crystalline scintillators for radiotherapy imaging. Med Phys 36:3227-38
Wang, Yi; Antonuk, Larry E; El-Mohri, Youcef et al. (2008) Monte Carlo investigations of megavoltage cone-beam CT using thick, segmented scintillating detectors for soft tissue visualization. Med Phys 35:145-58

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