Literature DB >> 15839355

Developments in megavoltage cone beam CT with an amorphous silicon EPID: reduction of exposure and synchronization with respiratory gating.

J Sillanpaa1, J Chang, G Mageras, H Riem, E Ford, D Todor, C C Ling, H Amols.   

Abstract

We have studied the feasibility of a low-dose megavoltage cone beam computed tomography (MV CBCT) system for visualizing the gross tumor volume in respiratory gated radiation treatments of nonsmall-cell lung cancer. The system consists of a commercially available linear accelerator (LINAC), an amorphous silicon electronic portal imaging device, and a respiratory gating system. The gantry movement and beam delivery are controlled using dynamic beam delivery toolbox, a commercial software package for executing scripts to control the LINAC. A specially designed interface box synchronizes the LINAC, image acquisition electronics, and the respiratory gating system. Images are preprocessed to remove artifacts due to detector sag and LINAC output fluctuations. We report on the output, flatness, and symmetry of the images acquired using different imaging parameters. We also examine the quality of three-dimensional (3D) tomographic reconstruction with projection images of anthropomorphic thorax, contrast detail, and motion phantoms. The results show that, with the proper choice of imaging parameters, the flatness and symmetry are reasonably good with as low as three beam pulses per projection image. Resolution of 5% electron density differences is possible in a contrast detail phantom using 100 projections and 30 MU. Synchronization of image acquisition with simulated respiration also eliminated motion artifacts in a moving phantom, demonstrating the system's capability for imaging patients undergoing gated radiation therapy. The acquisition time is limited by the patient's respiration (only one image per breathing cycle) and is under 10 min for a scan of 100 projections. In conclusion, we have developed a MV CBCT system using commercially available components to produce 3D reconstructions, with sufficient contrast resolution for localizing a simulated lung tumor, using a dose comparable to portal imaging.

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Year:  2005        PMID: 15839355     DOI: 10.1118/1.1861522

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


  17 in total

1.  A novel technique for markerless, self-sorted 4D-CBCT: feasibility study.

Authors:  Irina Vergalasova; Jing Cai; Fang-Fang Yin
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

2.  Super-resolution imaging in a multiple layer EPID.

Authors:  Haijian Chen; Joerg Rottmann; Stephen Sf Yip; Daniel Morf; Rony Füglistaller; Josh Star-Lack; George Zentai; Ross Berbeco
Journal:  Biomed Phys Eng Express       Date:  2017-02-21

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.  Dosimetry challenges for implementing emerging technologies.

Authors:  Fang-Fang Yin; Mark Oldham; Jing Cai; Qiuwen Wu
Journal:  J Phys Conf Ser       Date:  2010

6.  Evaluation of respiration-correlated digital tomosynthesis in lung.

Authors:  Joseph Santoro; Sergey Kriminski; D Michael Lovelock; Kenneth Rosenzweig; Hassan Mostafavi; Howard I Amols; Gig S Mageras
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

7.  Potential underestimation of the internal target volume (ITV) from free-breathing CBCT.

Authors:  Irina Vergalasova; Jacqueline Maurer; Fang-Fang Yin
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

8.  Observation of interfractional variations in lung tumor position using respiratory gated and ungated megavoltage cone-beam computed tomography.

Authors:  Jenghwa Chang; Gig S Mageras; Ellen Yorke; Fernando De Arruda; Jussi Sillanpaa; Kenneth E Rosenzweig; Agung Hertanto; Hai Pham; Edward Seppi; Alex Pevsner; C Clifton Ling; Howard Amols
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-04-01       Impact factor: 7.038

9.  Extracting respiratory signals from thoracic cone beam CT projections.

Authors:  Hao Yan; Xiaoyu Wang; Wotao Yin; Tinsu Pan; Moiz Ahmad; Xuanqin Mou; Laura Cerviño; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2013-02-11       Impact factor: 3.609

10.  Investigation of gated cone-beam CT to reduce respiratory motion blurring.

Authors:  Russell E Kincaid; Ellen D Yorke; Karyn A Goodman; Andreas Rimner; Abraham J Wu; Gig S Mageras
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

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