AIMC Topic: Photons
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Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons.
Scientific reports
Aug 28, 2018
The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware implementations of the functional units of the brain, namely, neurons...
A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras.
Physics in medicine and biology
Oct 19, 2017
Measuring the depth-of-interaction (DOI) of gamma photons enables increasing the resolution of emission imaging systems. Several design variants of DOI-sensitive detectors have been recently introduced to improve the performance of scanners for posit...
Photon Optimizer (PO) prevails over Progressive Resolution Optimizer (PRO) for VMAT planning with or without knowledge-based solution.
Journal of applied clinical medical physics
Jan 24, 2017
The enhanced dosimetric performance of knowledge-based volumetric modulated arc therapy (VMAT) planning might be jointly contributed by the patient-specific optimization objectives, as estimated by the RapidPlan model, and by the potentially improved...
A neural network-based method for spectral distortion correction in photon counting x-ray CT.
Physics in medicine and biology
Jul 29, 2016
Spectral CT using a photon counting x-ray detector (PCXD) shows great potential for measuring material composition based on energy dependent x-ray attenuation. Spectral CT is especially suited for imaging with K-edge contrast agents to address the ot...
NEURAL NETWORK MODELLING OF CARDIAC DOSE CONVERSION COEFFICIENT FOR ARBITRARY X-RAY SPECTRA.
Radiation protection dosimetry
Oct 28, 2015
In this article, an approach to compute the dose conversion coefficients (DCCs) is described for the computational voxel phantom 'High-Definition Reference Korean-Man' (HDRK-Man) using artificial neural networks (ANN). For this purpose, the voxel pha...
Beetle-inspired responsive photonic microgel assemblies for multi-sensing enhanced by machine learning.
Biosensors & bioelectronics
Oct 15, 2025
Bioinspired photonic hydrogels hold promise as sensors; however, their use in triple-analyte sensing optical devices has been minimally explored. Temperature, serum Fe levels, and X-ray doses are critical factors for predicting and monitoring medical...
Photon-counting micro-CT scanner for deep learning-enabled small animal perfusion imaging.
Physics in medicine and biology
Jul 7, 2025
In this work, we introduce a benchtop, turn-table photon-counting (PC) micro-computed tomography (CT) scanner and highlight its application for dynamic small animal perfusion imaging.Built on recently published hardware, the system now features a CdT...
Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network.
Radiological physics and technology
Jun 1, 2025
The aim of this study is to remove scattered photons and beam hardening effect in cone beam CT (CBCT) images and make an image available for treatment planning. To remove scattered photons and beam hardening effect, a convolutional neural network (CN...
Near-zero photon bioimaging by fusing deep learning and ultralow-light microscopy.
Proceedings of the National Academy of Sciences of the United States of America
May 27, 2025
Enhancing the reliability and reproducibility of optical microscopy by reducing specimen irradiance continues to be an important biotechnology target. As irradiance levels are reduced, however, the particle nature of light is heightened, giving rise ...
Photon-counting CT in cancer radiotherapy: technological advances and clinical benefits.
Physics in medicine and biology
May 16, 2025
Photon-counting computed tomography (PCCT) marks a significant advancement over conventional Energy-integrating detector CT systems. This review highlights PCCT's superior spatial and contrast resolution, reduced radiation dose, and multi-energy imag...
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