AIMC Topic: Photons

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A preliminary study of a photon dose calculation algorithm using a convolutional neural network.

Physics in medicine and biology Oct 16, 2020
The aim of dose calculation algorithm research is to improve the calculation accuracy while maximizing the calculation efficiency. In this study, the three-dimensional distribution of total energy release per unit mass (TERMA) and the electron densit...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Radiotherapy Dosage Monte Carlo Method Photons Lung Neoplasms Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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Initializing photonic feed-forward neural networks using auxiliary tasks.

Neural networks : the official journal of the International Neural Network Society Jun 1, 2020
Photonics is among the most promising emerging technologies for providing fast and energy-efficient Deep Learning (DL) implementations. Despite their advantages, these photonic DL accelerators also come with certain important limitations. For example...
Photons Deep Learning
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AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT.

Medical physics Apr 30, 2020
PURPOSE: Sparse-data computed tomography (CT) frequently occurs, such as breast tomosynthesis, C-arm CT, on-board four-dimensional cone-beam CT (4D CBCT), and industrial CT. However, sparse-data image reconstruction remains challenging due to highly ...
Algorithms Neural Networks, Computer Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Phantoms, Imaging Photons
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Evaluation of a neural network-based photon beam profile deconvolution method.

Journal of applied clinical medical physics Mar 30, 2020
PURPOSE: The authors have previously shown the feasibility of using an artificial neural network (ANN) to eliminate the volume average effect (VAE) of scanning ionization chambers (ICs). The purpose of this work was to evaluate the method when applie...
Humans Neural Networks, Computer Photons Particle Accelerators Radiation Dosage Radiometry
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Robust blind spectral unmixing for fluorescence microscopy using unsupervised learning.

PloS one Dec 2, 2019
Due to the overlapping emission spectra of fluorophores, fluorescence microscopy images often have bleed-through problems, leading to a false positive detection. This problem is almost unavoidable when the samples are labeled with three or more fluor...
Mitochondria Algorithms Cell Nucleus Animals Actins Fluorescence Photons Endothelial Cells Unsupervised Machine Learning Cattle Pulmonary Artery Fluorescent Dyes Microscopy, Confocal Microscopy, Fluorescence
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All-optical spiking neurosynaptic networks with self-learning capabilities.

Nature May 8, 2019
Software implementations of brain-inspired computing underlie many important computational tasks, from image processing to speech recognition, artificial intelligence and deep learning applications. Yet, unlike real neural tissue, traditional computi...
Supervised Machine Learning Neurons Biomimetics Action Potentials Unsupervised Machine Learning Photons Synapses Pattern Recognition, Automated Nerve Net Neural Networks, Computer Computers Computer Systems Models, Neurological
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Impact of nominal photon energies on normal tissue sparing in knowledge-based radiotherapy treatment planning for rectal cancer patients.

PloS one Mar 7, 2019
The interactive adjustment of the optimization objectives during the treatment planning process has made it difficult to evaluate the impact of beam quality exclusively in radiotherapy. Without consensus in the published results, the arbitrary select...
Photons Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organs at Risk Organ Sparing Treatments Aged, 80 and over Radiotherapy Planning, Computer-Assisted Adult Retrospective Studies Middle Aged Male Rectal Neoplasms Humans Female Knowledge Bases Aged
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Feasibility of photon beam profile deconvolution using a neural network.

Medical physics Oct 25, 2018
PURPOSE: Ionization chambers are the detectors of choice for photon beam profile scanning. However, they introduce significant volume averaging effect (VAE) that can artificially broaden the penumbra width by 2-3 mm. The purpose of this study was to ...
Neural Networks, Computer Feasibility Studies Radiometry Photons
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Learning SPECT detector angular response function with neural network for accelerating Monte-Carlo simulations.

Physics in medicine and biology Oct 17, 2018
A method to speed up [Formula: see text] simulations of single photon emission computed tomography (SPECT) imaging is proposed. It uses an artificial neural network (ANN) to learn the angular response function (ARF) of a collimator-detector system. T...
Computer Simulation Time Factors Monte Carlo Method Humans Neural Networks, Computer Phantoms, Imaging Tomography, Emission-Computed, Single-Photon 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...
Photons Models, Neurological Neurons Humans Nerve Net Neural Networks, Computer
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