Results 81 to 90 of about 1,826,590 (358)

Statistical iterative reconstruction using adaptive fractional order regularization.

open access: yesBiomedical Optics Express, 2016
In order to reduce the radiation dose of the X-ray computed tomography (CT), low-dose CT has drawn much attention in both clinical and industrial fields.
Yi Zhang   +5 more
semanticscholar   +1 more source

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós   +11 more
wiley   +1 more source

Adaptive Block Compressive Sensing: Toward a Real-Time and Low-Complexity Implementation

open access: yesIEEE Access, 2020
Adaptive block-based compressive sensing (ABCS) algorithms are studied in the context of the practical realisation of compressive sensing on resource-constrained image and video sensing platforms that use single-pixel cameras, multi-pixel cameras or ...
Joseph Zammit, Ian J. Wassell
doaj   +1 more source

Robust Automated Stopping Criterion for Semi-Convergent Image and Velocity Reconstruction in Electrical Capacitance Volume Tomography

open access: yesIEEE Open Journal of Instrumentation and Measurement, 2022
Electrical Capacitance Volume Tomography (ECVT) is a low-cost and high-speed sensing modality with great potential for industrial multiphase flow monitoring.
Shah M. Chowdhury   +5 more
doaj   +1 more source

Fused Analytical and Iterative Reconstruction (AIR) via modified proximal forward-backward splitting: a FDK-based iterative image reconstruction example for CBCT [PDF]

open access: yes, 2015
This work is to develop a general framework, namely analytical iterative reconstruction (AIR) method, to incorporate analytical reconstruction (AR) method into iterative reconstruction (IR) method, for enhanced CT image quality and reconstruction efficiency.
arxiv   +1 more source

An iterative method for reconstruction of temperature

open access: yesJournal of Inverse and Ill-Posed Problems, 2006
An iterative method for the reconstruction of a stationary three-dimensional temperature field, from Cauchy data given on a part of the boundary, is presented. At each iteration step, a series of mixed well-posed boundary value problems are solved for the heat operator and its adjoint.
openaire   +2 more sources

Reconstructing the Green's function through iteration of correlations [PDF]

open access: yesComptes Rendus. Géoscience, 2011
Abstract Correlations of ambient seismic noise are now widely used to retrieve the Earth response between two points. In this study, we reconstruct the surface-wave Green's function by iterating the correlation process over the tail of the noise-based correlation function.
Froment, Bérénice   +2 more
openaire   +7 more sources

Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection

open access: yesScientific Reports, 2017
As x-ray and electron tomography is pushed further into the nanoscale, the limitations of rotation stages become more apparent, leading to challenges in the alignment of the acquired projection images.
D. Gürsoy   +14 more
semanticscholar   +1 more source

Quantification and dosimetric impact of intra‐fractional bladder changes during CBCT‐guided online adaptive radiotherapy for pelvic cancer treatments

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study quantitatively evaluates bladder changes and their dosimetric impact during the on‐couch adaptive process on a commercial CBCT‐based online adaptive radiotherapy (CT‐gART) platform. Methods Data from 183 fractions of ten patients receiving online ART for pelvic cancers were analyzed retrospectively.
Ingrid Valencia Lozano   +7 more
wiley   +1 more source

SSM-Net: Enhancing Compressed Sensing Image Reconstruction with Mamba Architecture and Fast Iterative Shrinking Threshold Algorithm Optimization

open access: yesSensors
Compressed sensing (CS) is a powerful technique that can reduce data size while maintaining high reconstruction quality, which makes it particularly valuable in high-dimensional image applications. However, many existing methods have difficulty balancing
Xianwei Gao, Bi Chen, Xiang Yao, Ye Yuan
doaj   +1 more source

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