Results 71 to 80 of about 1,957,229 (358)
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy+9 more
wiley +1 more source
3D reconstruction study of motion blur non-coded targets based on the iterative relaxation method
Achieving high-quality three-dimensional (3D) reconstruction has been a challenging problem due to factors such as motion blur. In this article, we first construct a mathematical model of an iterative relaxation method in reconstructing images, including
Yun Shi, Rongna Chen, Yanyan Zhu
doaj +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
High-speed tensor tomography: iterative reconstruction tensor tomography (IRTT) algorithm
A fast and robust reconstruction algorithm for small-angle scattering tensor tomography, named iterative reconstruction tensor tomography, is presented.
Zirui Gao+6 more
semanticscholar +1 more source
Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case
In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise.
Gengsheng L. Zeng, Ya Li, Qiu Huang
doaj +1 more source
Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms
We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesian algorithms.
Gengsheng L. Zeng, Ya Li
doaj +1 more source
CT Automated Exposure Control Using A Generalized Detectability Index [PDF]
Purpose Identifying an appropriate tube current setting can be challenging when using iterative reconstruction due to the varying relationship between spatial resolution, contrast, noise, and dose across different algorithms.
Crotty, Dominic J.+7 more
core +1 more source
On Iterative Algorithms for Quantitative Photoacoustic Tomography in the Radiative Transport Regime
In this paper, we describe the numerical reconstruction method for quantitative photoacoustic tomography (QPAT) based on the radiative transfer equation (RTE), which models light propagation more accurately than diffusion approximation (DA).
Wang, Chao, Zhou, Tie
core +2 more sources
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach+6 more
wiley +1 more source
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation [PDF]
PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently, the deep neural networks have been widely and successfully used in computer vision tasks and attracted growing ...
Kuang Gong+8 more
semanticscholar +1 more source