Dr. Minghui Lu Profile

Dr. Minghui Lu

at Varex Imaging Corp

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Publications (7)

Proceedings Article | 15 February 2021 Presentation + Paper

Dual energy chest x-ray for improved COVID-19 detection using a dual-layer flat-panel detector: simulation and phantom studies

Linxi Shi, N. Robert Bennett, Minghui Lu, Mingshan Sun, Jin Zhang, Josh Star-Lack, Emily Tsai, H. Henry Guo, Adam Wang

Proceedings Volume 11595, 1159528 (2021) https://doi.org/10.1117/12.2581317

KEYWORDS: Chest imaging, Sensors, Dual energy imaging, Chest, Opacity, Visualization, Switching, Sensor performance, Radiography, Bone

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Proceedings Article | 16 March 2020 Presentation + Paper

Comparative study of dual energy cone-beam CT using a dual-layer detector and kVp switching for material decomposition

Linxi Shi, N. Robert Bennett, Edward Shapiro, Richard Colbeth, Josh Star-Lack, Minghui Lu, Adam Wang

Proceedings Volume 11312, 1131220 (2020) https://doi.org/10.1117/12.2549781

KEYWORDS: Dual energy imaging, X-rays, Imaging systems, Prototyping, Bone

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Proceedings Article | 16 March 2020 Presentation + Paper

Projection-domain metal artifact correction using a dual layer detector

Linxi Shi, N. Robert Bennett, Josh Star-Lack, Minghui Lu, Adam Wang

Proceedings Volume 11312, 1131225 (2020) https://doi.org/10.1117/12.2547936

KEYWORDS: Image segmentation, Dual energy imaging, Scintillators, Computed tomography

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Proceedings Article | 16 March 2020 Paper

Model-based material decomposition with system blur modeling

Wenying Wang, Matthew Tivnan, Grace Gang, Yiqun Ma, Qian Cao, Minghui Lu, Josh Star-Lack, Richard Colbeth, Wojciech Zbijewski, J. Webster Stayman

Proceedings Volume 11312, 113123Q (2020) https://doi.org/10.1117/12.2549549

KEYWORDS: Systems modeling, Iodine, Scintillators, Imaging systems, X-rays, Computed tomography, Dual energy imaging

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Proceedings Article | 4 March 2019 Presentation + Paper

Dual energy imaging with a dual-layer flat panel detector

Minghui Lu, Adam Wang, Edward Shapiro, Amy Shiroma, Jin Zhang, Joachim Steiger, Josh Star-Lack

Proceedings Volume 10948, 1094815 (2019) https://doi.org/10.1117/12.2513499

KEYWORDS: Sensors, Dual energy imaging, Modulation transfer functions, Bone, X-rays, Scintillators, Calibration, Imaging systems, X-ray detectors, X-ray imaging

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Dual Energy (DE) imaging has been widely used in digital radiography and fluoroscopy, as has dual energy CT for various medical applications. In this study, the imaging performance of a dynamic dual-layer a-Si flat panel detector (FPD) prototype was characterized for dual energy imaging tasks. Dual energy cone beam CT (DE CBCT) scans were acquired and used to perform material decomposition in the projection domain, followed by reconstruction to generate material specific and virtual monoenergetic (VM) images. The dual-layer FPD prototype was built on a Varex XRD 4343RF detector by adding a 200 μm thick CsI scintillator and a-Si panel of 150 μm pixel size on top as a low energy detector. A 1 mm copper filter was added as a middle layer to increase energy separation with the bottom layer as a high energy detector. The imaging performance, such as Modulation Transfer Function (MTF), Conversion Factor (CF), and Detector Quantum Efficiency (DQE) of both the top and bottom detector layers were characterized and compared with those of the standard single layer XRD4343 RF detector. Several tissue equivalent cylinders (solid water, liquid water, bone, acrylic, polyethylene, etc.) were placed on a rotating stand, and two separate 450-projection CBCT scans were performed under continuous 120 kV and 80 kV X-ray beams. After an empirical material decomposition calibration, water and bone images were generated for each projection, and their respective volumes were reconstructed using Varex’s CBCT Software Tools (CST 2.0). A VM image, which maximized the contrast-to-noise ratio of water to polyethylene, was generated based on the water and bone images. The MTF at 1.0 lp/mm from the low energy detector was 32% and 22% higher than the high energy detector and the standard detector, respectively; the DQE of both high and low energy detectors is much lower than that of the standard XRD 4343RF detector. The CNR of water to polyethylene from the VM image improved by 50% over that from the low energy image alone at 120 kV, and by 80% at 80 kV. This study demonstrates the feasibility of using a dual-layer FPD in applications such as DE CBCT for contrast enhancement and material decomposition. Further evaluations are underway.

Proceedings Article | 24 August 2017 Presentation + Paper

Light output enhancement for a plastic scintillator using nanofibers

Zhangkai Cheng, Samuel Blake, Phil Vial, Ming Lu, Zdenka Kuncic, Shaghik Atakaramians

Proceedings Volume 10395, 103950D (2017) https://doi.org/10.1117/12.2273531

KEYWORDS: Optical fibers, Scintillators, Tissue optics, Electronic components, Electronic imaging, Imaging devices, Prototyping, X-ray detectors, Imaging systems

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Proceedings Article | 23 March 2016 Paper

Improving detector spatial resolution using pixelated scintillators with a barrier rib structure

Langechuan Liu, Minghui Lu, Wanqing Cao, Luke Peng, Arthur Chen

Proceedings Volume 9783, 978315 (2016) https://doi.org/10.1117/12.2216330

KEYWORDS: Scintillators, Sensors, Spatial resolution, Modulation transfer functions, Photons, Amorphous silicon, X-ray imaging, Digital x-ray imaging, X-rays, Visible radiation, Reflectivity, Photodiodes, Quantum efficiency, Aluminum

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Showing 5 of 7 publications

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