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Background: Photon-counting detector computed tomography (PCD-CT) can reduce radiation dose in paediatric lung imaging.
Objective: The aim of this study was to determine the lowest radiation dose maintaining adequate image quality for high-pitch lung imaging using a PCD-CT in a chest phantom replicating the characteristics of a 5-year-old child.
Materials And Methods: The phantom was imaged on a dual-source PCD-CT with five different volume CT dose indices (CTDI): 0.45 mGy, 0.30 mGy, 0.15 mGy, 0.07 mGy, and 0.01 mGy. Scans were acquired with Sn100 kV in standard and ultra-high resolution modes. Polychromatic images were reconstructed with a 1-mm slice thickness, lung kernel Bl60, without quantum iterative reconstruction and with quantum iterative reconstruction at strengths 2 and 4. Two paediatric radiologists rated reconstructions subjectively, defining adequate image quality as the visibility of small peripheral structures. Objective evaluation included global noise index and global signal-to-noise ratio index.
Results: Exposure times were 0.42 s and 0.84 s for standard and ultra-high resolution modes, respectively. Subjective assessments showed no significant differences across scan modes or quantum iterative reconstruction strengths for both readers at all doses (all, P > 0.05). Scans at 0.07 mGy with quantum iterative reconstruction 4 were deemed to maintain adequate image quality at the lowest dose. Global noise index was always lower and global signal-to-noise ratio index always higher in ultra-high resolution compared with standard mode, underscoring noise reduction achieved via ultra-high resolution mode's small pixel effect.
Conclusions: PCD-CT enables high-pitch lung imaging while maintaining adequate image quality at a radiation dose as low as 0.07 mGy, with quantum iterative reconstruction 4, in a paediatric phantom representing a 5-year-old child.
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http://dx.doi.org/10.1007/s00247-025-06235-0 | DOI Listing |
J Chem Phys
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Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.
We present a self-consistent algorithm for optimal control simulations of many-body quantum systems. The algorithm features a two-step synergism that combines discrete real-time machine learning (DRTL) with Quantum Optimal Control Theory (QOCT) using the time-dependent Schrödinger equation. Specifically, in step (1), DRTL is employed to identify a compact working space (i.
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Laboratório de Modelagem Molecular Aplicada e Simulação (LaMMAS), Universidade Estadual de Goiás, Anápolis, GO 75001-970, Brazil.
In this work, we report a theoretical investigation of the third-order nonlinear optical properties of the metronidazolium-picrate salt. The effects of the crystal environment are accounted for by the Iterative Charge Embedding approach, and the electronic calculations are carried out at the DFT (CAM-B3LYP/6-311++G-(d,p)) level. Furthermore, we use the results to parametrize a cavity Quantum Electrodynamics model for a quantum memory based on the Off-Resonant Cascaded Absorption protocol.
View Article and Find Full Text PDFSmall Methods
September 2025
School of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, South Korea.
Droplet generation has been utilized in various applications, including drug delivery, the fabrication of functional particles, and material synthesis. Achieving the goals of these applications requires droplet generation of a desired size. Microfluidic droplet generation offers precise control of droplet dimensions.
View Article and Find Full Text PDFEntropy (Basel)
August 2025
Faculty of Science, Queensland University of Technology, Brisbane 4000, Australia.
This paper describes a crowdsourced experiment in which participants were asked to judge which of two simultaneously presented facial images (one real, one AI-generated) was fake. With the growing presence of synthetic imagery in digital environments, cognitive systems must adapt to novel and often deceptive visual stimuli. Recent developments in cognitive science propose that some mental processes may exhibit quantum-like characteristics, particularly in their context sensitivity.
View Article and Find Full Text PDFEntropy (Basel)
August 2025
School of Electronic Information, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China.
The rapid development of Internet technology, while providing convenient services for users, has also aroused deep concern among the public about the issue of privacy leakage during image data transmission. To address this situation, this article proposes a color image encryption algorithm based on RNA extended dynamic coding and quantum chaos (CIEA-RQ). This algorithm significantly improves the ability of the system to withstand cryptographic attacks by introducing RNA extended dynamic encoding with 384 encoding rules.
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