Results 41 to 50 of about 257,977 (271)

Bandlimited Frequency-Constrained Iterative Methods

Remote Sensing
Variable aperture sampling reconstruction matrices have a history of being computationally intensive due to the need to compute a full matrix inverse. In the field of remote sensing, several spaceborne radiometers and scatterometers, which have irregular
Harrison Garrett, David G. Long
doaj   +1 more source

Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors

Visual Computing for Industry, Biomedicine, and Art, 2020
The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based. They are iterative algorithms that optimize objective functions with spatial and/or temporal constraints.
Gengsheng L. Zeng, Edward V. DiBella
doaj   +1 more source

Image reconstruction using iterative transpose algorithm for optical tomography [PDF]

, 2007
This paper describes a transpose algorithm for use with an optical tomography system. The measurement system consisted of two orthogonal arrays, each having ten parallel views, resulting in a total of twenty sensors.
Abd. Rahim, Ruzairi, Fazalul Rahiman, Mohd. Hafiz, Green, R. G., Md. Yunos, Yusri   +3 more
core   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Reduction of metal artifact in single photon-counting computed tomography by spectral-driven iterative reconstruction technique. [PDF]

PLoS ONE, 2015
The exciting prospect of Spectral CT (SCT) using photon-counting detectors (PCD) will lead to new techniques in computed tomography (CT) that take advantage of the additional spectral information provided.
Radin A Nasirudin, Kai Mei, Petar Penchev, Andreas Fehringer, Franz Pfeiffer, Ernst J Rummeny, Martin Fiebich, Peter B Noël   +7 more
doaj   +1 more source

Image Reconstruction Algorithm Using Weighted Mean of Ordered-Subsets EM and MART for Computed Tomography

Mathematics, 2022
Iterative image reconstruction algorithms have considerable advantages over transform methods for computed tomography, but they each have their own drawbacks.
Omar M. Abou Al-Ola, Ryosuke Kasai, Yusaku Yamaguchi, Takeshi Kojima, Tetsuya Yoshinaga   +4 more
doaj   +1 more source

Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging [PDF]

, 2015
We consider a compressive hyperspectral imaging reconstruction problem, where three-dimensional spatio-spectral information about a scene is sensed by a coded aperture snapshot spectral imager (CASSI).
Arce, Gonzalo, Baron, Dror, Ma, Yanting, Rueda, Hoover, Tan, Jin   +4 more
core   +1 more source

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

Arthritis Care &Research, Accepted Article.
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, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

3D reconstruction study of motion blur non-coded targets based on the iterative relaxation method

Open Computer Science
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

Analytic time-of-flight positron emission tomography reconstruction: two-dimensional case

Visual Computing for Industry, Biomedicine, and Art, 2019
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