Results 61 to 70 of about 260,393 (187)

Quality evaluation of image‐based iterative reconstruction for CT: Comparison with hybrid iterative reconstruction [PDF]

Journal of Applied Clinical Medical Physics, 2019
AbstractThe purpose of this study is to evaluate the physical image quality of a commercially available image‐based iterative reconstruction (IIR) system for two object contrasts to resemble a soft tissue (60 HU) and an enhanced vessel (270 HU), and compare the results with those of filtered back projection (FBP) and iterative reconstruction (IR).
Kawashima, Hiroki, Ichikawa, Katsuhiro, Matsubara, Kosuke, Nagata, Hiroji, Takata, Tadanori, Kobayashi, Satoshi   +5 more
openaire   +2 more sources

Iterative Online 3D Reconstruction from RGB Images

Sensors, 2022
3D reconstruction is the computer vision task of reconstructing the 3D shape of an object from multiple 2D images. Most existing algorithms for this task are designed for offline settings, producing a single reconstruction from a batch of images taken from diverse viewpoints.
Thorsten Cardoen, Sam Leroux, Pieter Simoens   +2 more
openaire   +3 more sources

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

IEEE 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, Cody Park, Yaswanth Pottimurthy, Qussai M. Marashdeh, Fernando L. Teixeira, Liang-Shih Fan   +5 more
doaj   +1 more source

Observer Sensitivity for Detection of Pulmonary Nodules in Ultra-Low Dose Computed Tomography Protocols Using a Third-Generation Dual-Source CT with Ultra-High Pitch—A Phantom Study

Anatomia, 2023
This study evaluates ultra-low-dose computed tomography (ULDCT) protocols concerning the detectability of pulmonary nodules. The influence of tube current settings, kernels, strength levels of third-generation iterative reconstruction algorithms, and ...
Natascha Leitzig, Sonja Janssen, Hany Kayed, Stefan O. Schönberg, Hans Scheffel   +4 more
doaj   +1 more source

Iterative maximum-likelihood reconstruction in quantum homodyne tomography

, 2003
I propose an iterative expectation maximization algorithm for reconstructing a quantum optical ensemble from a set of balanced homodyne measurements performed on an optical state.
?ehá?ek J, ?ehá?ek J, A I Lvovsky, Banaszek K, Banaszek K, Banaszek K, Banaszek K, Cramér H, D?Ariano G M, Fiurá?ek J, Hansen H, Hradil Z, Kiss T, Leonhardt U, Rao C R, Vardi Y, Vogel K   +16 more
core   +2 more sources

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

Sensors
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

A robust iterative reconstruction technique for deflectometry [PDF]

Nanotechnology and Precision Engineering
We present an iterative surface-reconstruction approach based on vision rays that achieves not only higher reconstruction accuracy than the Delaunay/Möller–Trumbore method but also a significant reduction in computation time.
Yingmo Wang, Fengzhou Fang
doaj   +1 more source

Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction. [PDF]

PLoS ONE, 2016
OBJECTIVE:Evaluation of a new iterative reconstruction algorithm (IMR) for detection/rule-out of pulmonary embolism (PE) in ultra-low dose computed tomography pulmonary angiography (CTPA).
Andreas Sauter, Thomas Koehler, Alexander A Fingerle, Bernhard Brendel, Vivien Richter, Michael Rasper, Ernst J Rummeny, Peter B Noël, Daniela Münzel   +8 more
doaj   +1 more source

Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction–V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions [PDF]

Journal of Computer Assisted Tomography, 2018
Objective The purpose of this study was to compare abdominopelvic computed tomography images reconstructed with adaptive statistical iterative reconstruction–V (ASIR-V) with model-based iterative reconstruction (Veo 3.0), ASIR, and filtered back projection (FBP). Methods and Materials
Martin H, Goodenberger, Nicolaus A, Wagner-Bartak, Shiva, Gupta, Xinming, Liu, Ramon Q, Yap, Jia, Sun, Eric P, Tamm, Corey T, Jensen   +7 more
openaire   +2 more sources

TOMOGRAPHIC MAMMOGRAPHY AND TOMOSYNTHESIS USING OPENGL

Системный анализ и прикладная информатика, 2016
Computed tomography is still being intensively studied and widely used to solve a number of industrial and medical applications. The simultaneous algebraic reconstruction technique (SART) and Bayesian inference reconstruction (BIR) are considered as ...
S. A. Zolotarev, M. A. Mirzavand
doaj