Literature DB >> 15587653

Development of high quantum efficiency, flat panel, thick detectors for megavoltage x-ray imaging: a novel direct-conversion design and its feasibility.

G Pang1, J A Rowlands.   

Abstract

Most electronic portal imaging devices (EPIDs) developed to date, including recently developed flat panel systems, have low x-ray absorption, i.e., low quantum efficiency (QE) of 2%-4% as compared to the theoretical limit of 100%. A significant increase of QE is desirable for applications such as a megavoltage cone-beam computed tomography (MVCT) and megavoltage fluoroscopy. However, the spatial resolution of an imaging system usually decreases significantly with an increase of QE. The key to the success in the design of a high QE detector is therefore to maintain the spatial resolution. Recently, we demonstrated theoretically that it is possible to design a portal imaging detector with both high QE and high resolution [see Pang and Rowlands, Med. Phys. 29, 2274 (2002)]. In this paper, we introduce such a novel design consisting of a large number of microstructured plates (made by, e.g., photolithographic patterning of evaporated or electroplated layers) packed together and aligned with the incident x rays. On each plate, microstrip charge collectors are focused toward the x-ray source to collect charges generated in the ionization medium (e.g., air or gas) surrounded by high-density materials that act as x-ray converters. The collected charges represent the x-ray image and can be read out by various means, including a two-dimensional (2-D) active readout matrix. The QE, spatial resolution, and sensitivity of the detector have been calculated. It has been shown that the new design will have a QE of more than an order of magnitude higher and a spatial resolution equivalent to that of flat panel systems currently used for portal imaging. The new design is also quantum noise limited down to very low doses (approximately 1-2 radiation pulses of the linear accelerator).

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Year:  2004        PMID: 15587653     DOI: 10.1118/1.1803771

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  Performance evaluation of polycrystalline HgI2 photoconductors for radiation therapy imaging.

Authors:  Qihua Zhao; Larry E Antonuk; Youcef El-Mohri; Yi Wang; Hong Du; Amit Sawant; Zhong Su; Jin Yamamoto
Journal:  Med Phys       Date:  2010-06       Impact factor: 4.071

Review 2.  Flat-detector computed tomography (FD-CT).

Authors:  Willi A Kalender; Yiannis Kyriakou
Journal:  Eur Radiol       Date:  2007-06-23       Impact factor: 5.315

3.  Monte Carlo investigations of megavoltage cone-beam CT using thick, segmented scintillating detectors for soft tissue visualization.

Authors:  Yi Wang; Larry E Antonuk; Youcef El-Mohri; Qihua Zhao; Amit Sawant; Hong Du
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

4.  High-DQE EPIDs based on thick, segmented BGO and CsI:Tl scintillators: performance evaluation at extremely low dose.

Authors:  Yi Wang; Larry E Antonuk; Qihua Zhao; Youcef El-Mohri; Louis Perna
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

5.  A Monte Carlo investigation of Swank noise for thick, segmented, crystalline scintillators for radiotherapy imaging.

Authors:  Yi Wang; Larry E Antonuk; Youcef El-Mohri; Qihua Zhao
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

6.  Monte Carlo investigations of the effect of beam divergence on thick, segmented crystalline scintillators for radiotherapy imaging.

Authors:  Yi Wang; Youcef El-Mohri; Larry E Antonuk; Qihua Zhao
Journal:  Phys Med Biol       Date:  2010-06-04       Impact factor: 3.609

7.  Low-dose megavoltage cone-beam CT imaging using thick, segmented scintillators.

Authors:  Youcef El-Mohri; Larry E Antonuk; Qihua Zhao; Richard B Choroszucha; Hao Jiang; Langechuan Liu
Journal:  Phys Med Biol       Date:  2011-02-16       Impact factor: 3.609

8.  Development of a novel high quantum efficiency MV x-ray detector for image-guided radiotherapy: A feasibility study.

Authors:  Jian Liu; Yuan Xu; Aram Teymurazyan; Zisis Papandreou; Geordi Pang
Journal:  Med Phys       Date:  2019-11-04       Impact factor: 4.071

  8 in total

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