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In digital radiography imaging, dual-layer flat-panel detectors (DFDs), in which two flat-panel detector layers are stacked with a minimal distance between the layers and appropriate alignment, are commonly used in material decompositions as dual-energy applications with a single x-ray exposure. DFDs also enable more efficient use of incident photons, resulting in x-ray images with improved noise power spectrum (NPS) and detection quantum efficiency (DQE) performances as single-energy applications. Purpose: Although the development of DFD systems for material decomposition applications is actively underway, there is a lack of research on whether single-energy applications of DFD can achieve better performance than the single-layer case. In this paper, we experimentally observe the DFD performance in terms of the modulation transfer function (MTF), NPS, and DQE with discussions. Using prototypes of DFD, we experimentally measure the MTF, NPS, and DQE of the convex combination of the images acquired from the upper and lower detector layers of DFD. To optimize DFD performance, a two-step image registration is performed, where subpixel registration based on the maximum amplitude response to the transform based on the Fourier shift theorem and an affine transformation using cubic interpolation are adopted. The DFD performance is analyzed and discussed through extensive experiments for various scintillator thicknesses, x-ray beam conditions, and incident doses. Under the RQA 9 beam conditions of 2.7 μGy dose, the DFD with the upper and lower scintillator thicknesses of 0.5 mm could achieve a zero-frequency DQE of 75%, compared to 56% when using a single-layer detector. This implies that the DFD using 75 % of the incident dose of a single-layer detector can provide the same signal-to-noise ratio as a single-layer detector. In single-energy radiography imaging, DFD can provide better NPS and DQE performances than the case of the single-layer detector, especially at relatively high x-ray energies, which enables low-dose imaging.
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http://dx.doi.org/10.3390/diagnostics15151889 | DOI Listing |
Med Phys
September 2025
Department of Radiology, Stony Brook University, New York, USA.
Background: In contrast-enhanced digital mammography (CEDM) and contrast-enhanced digital breast tomosynthesis (CEDBT), low-energy (LE) and high-energy (HE) images are acquired after injection of iodine contrast agent. Weighted subtraction is then applied to generate dual-energy (DE) images, where normal breast tissues are suppressed, leaving iodinated objects enhanced. Currently, clinical systems employ a dual-shot (DS) method, where LE and HE images are acquired with two separate exposures.
View Article and Find Full Text PDFNeurophotonics
July 2025
University of Strathclyde, Department of Biomedical Engineering, Glasgow, United Kingdom.
Significance: Multilayer (two- and three-layer) diffuse correlation spectroscopy (DCS) models improve cerebral blood flow index (CBFi) measurement sensitivity and mitigate interference from extracerebral tissues. However, their reliance on multiple predefined parameters (e.g.
View Article and Find Full Text PDFDiagnostics (Basel)
July 2025
Division of Semiconductor and Electronics Engineering, Hankuk University of Foreign Studies, Yongin-si 17035, Gyeonggi-do, Republic of Korea.
In digital radiography imaging, dual-layer flat-panel detectors (DFDs), in which two flat-panel detector layers are stacked with a minimal distance between the layers and appropriate alignment, are commonly used in material decompositions as dual-energy applications with a single x-ray exposure. DFDs also enable more efficient use of incident photons, resulting in x-ray images with improved noise power spectrum (NPS) and detection quantum efficiency (DQE) performances as single-energy applications. Purpose: Although the development of DFD systems for material decomposition applications is actively underway, there is a lack of research on whether single-energy applications of DFD can achieve better performance than the single-layer case.
View Article and Find Full Text PDFIn this paper, an optical data encoding scheme is proposed to realize high-fidelity optical wireless transmission (OWT) through complex media (i.e., dynamic and turbid water) around a corner using a single-layer neural network to fit a physical model.
View Article and Find Full Text PDFMed Phys
July 2025
Acoustic Range Estimates, Chicago, Illinois, USA.
Background: Minimization of range uncertainties is critical for precise and effective proton therapy. Thermoacoustic range verification is a promising non-invasive technique for pinpointing the Bragg peak location in proton therapy.
Purpose: Verification of a prototype device for thermoacoustic range verification with minimal disruption to a clinical workflow for proton therapy delivered by a synchrocyclotron.