2020
DOI: 10.1002/mp.14017
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Low‐dose megavoltage cone‐beam computed tomography using a novel multi‐layer imager (MLI)

Abstract: Purpose: The feasibility of low-dose megavoltage cone-beam acquisition (MVCBCT) using a novel, high detective quantum efficiency (DQE) multi-layer imager (MLI) was investigated. The aim of this work was to reconstruct MVCBCT images using the MLI at different total dose levels, and assess Hounsfield Unit (HU) accuracy, noise and contrast-to-noise ratio (CNR) for low-dose megavoltage cone-beam acquisition. Methods: The MLI has four stacked layers; each layer contains a combination of copper filter/converter, gad… Show more

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Cited by 11 publications
(12 citation statements)
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“…CWO was noted to have a 20‐fold efficiency improvement over GOS with significantly higher stability and light yield than BGO 10 . Likewise, image quality improvement was seen using multilayer GOS imagers with two to four times greater CNR than an equivalent single layer GOS detector 11 …”
Section: Introductionmentioning
confidence: 96%
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“…CWO was noted to have a 20‐fold efficiency improvement over GOS with significantly higher stability and light yield than BGO 10 . Likewise, image quality improvement was seen using multilayer GOS imagers with two to four times greater CNR than an equivalent single layer GOS detector 11 …”
Section: Introductionmentioning
confidence: 96%
“…10 Likewise, image quality improvement was seen using multilayer GOS imagers with two to four times greater CNR than an equivalent single layer GOS detector. 11 Currently, these two approaches to improving MV imaging, the amelioration of detector efficiencies and introduction of low-Z targets, have remained largely separate. Likewise, direct comparison of the benefit of different imaging strategies in the literature remains challenging as different works have different combi-nations of voxel size, cone-beam size, phantom dose, focal-spot size, and other imaging variables.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4][5][6][7] The low quantum efficiency (QE) of megavoltage (MV) photons, has been challenging. Different approaches have been implemented to increase the detective quantum efficiency (DQE), from using multilayer imagers, 8 bidirectional flat panel detectors, 9 and scintillating fibers with different septa materials. 10,11 Thick segmented crystalline scintillators have also been investigated as the x-ray converter, [12][13][14][15][16][17][18][19][20][21] whilst usually some improvement in signal-to-noise ratio is also offered by frame averaging.…”
Section: Introductionmentioning
confidence: 99%
“…Kilovoltage x-ray image guidance offers favorable image quality and dose characteristics, but kV onboard imaging incurs increased cost, maintenance, and introduces its own uncertainties 1 ;while for planar imaging,lacks the advantageous perspective of the treatment beams-eyeview. 2 Numerous efforts have focused on improvement of MV imaging systems with regard to both detectors and beam production, including the ongoing development of efficient multilayer detectors 3,4 and the recent installation of the 2.5 MV imaging beam on the modern TrueBeam (Varian Medical Systems, Palo Alto, CA) treatment unit.…”
Section: Introductionmentioning
confidence: 99%
“…Consequently, this 2.5 MV diamond target beam demonstrates improved contrast-to-noise ratio (CNR) versus dose characteristics compared to the commercial 2.5 MV copper target beam, by factors of up to 1.7 times in planar imaging. 5 This study examines the feasibility of MV conebeam CT (CBCT) with this novel 2.5 MV diamond target beam.Although low-dose MV CBCT with standard MV therapy beams has been explored in experimental benchtop settings 4,[7][8][9] the 1%-2% detective quantum efficiency 10 of commercial detectors in combination with these beams has limited translation to the clinic. Due to its unique energy spectrum, the sintered diamond target beam permits 2.5 MV image acquisition with doses on the order of mGy per frame 5 and therefore may be comparatively advantageous for CBCT acquisition.…”
Section: Introductionmentioning
confidence: 99%