Results 21 to 30 of about 260,393 (187)

The Impact of Iterative Reconstruction on Computed Tomography Radiation Dosimetry: Evaluation in a Routine Clinical Setting. [PDF]

open access: yesPLoS ONE, 2015
To evaluate the effect of introduction of iterative reconstruction as a mandated software upgrade on radiation dosimetry in routine clinical practice over a range of computed tomography examinations.Random samples of scanning data were extracted from a ...
Rachael E Moorin   +3 more
doaj   +1 more source

Fast Parallel Imaging Reconstruction Method Based on SIDWT and Iterative Self-Consistency

open access: yesShanghai Jiaotong Daxue xuebao, 2023
To improve the reconstruction speed of parallel magnetic resonance imaging, an efficient reconstruction method named fSIDWT-SPIRiT is proposed based on shift-invariant discrete wavelets transform (SIDWT) and the iterative self-consistent parallel imaging
DUAN Jizhong, QIAN Qingqing
doaj   +1 more source

Low-dose CT Reconstruction Algorithm Based on Iterative Asymmetric Blind Spot Network [PDF]

open access: yesJisuanji kexue, 2023
Aiming at the problem that the method of low-dose CT reconstruction by machine learning method relies too much on pairwise legends,a low-dose CT reconstruction algorithm based on iterative asymmetric blind spot network is proposed.Firstly,low-dose CT is ...
GUO Guangxing, YIN Guimei, LIU Chenxu, DUAN Yonghong, QIANG Yan, WANG Yanfei, WANG Tao
doaj   +1 more source

Viscoelastic modulus reconstruction using time harmonic vibrations [PDF]

open access: yes, 2014
This paper presents a new iterative reconstruction method to provide high-resolution images of shear modulus and viscosity via the internal measurement of displacement fields in tissues.
Ammari, Habib   +2 more
core   +4 more sources

Approximate Message Passing Algorithm for Nonconvex Regularization

open access: yesIEEE Access, 2019
In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD).
Hui Zhang   +4 more
doaj   +1 more source

ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network

open access: yesPhotonics, 2022
In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective method for reducing radiation doses. The iterative reconstruction method is usually adopted for sparse-view CT.
Sukai Wang, Xuan Li, Ping Chen
doaj   +1 more source

Iterative algorithm for reconstruction of entangled states [PDF]

open access: yes, 2000
An iterative algorithm for the reconstruction of an unknown quantum state from the results of incompatible measurements is proposed. It consists of Expectation-Maximization step followed by a unitary transformation of the eigenbasis of the density matrix.
A. G. White   +19 more
core   +2 more sources

Analytical and Numerical Flash-Algorithms for Track Fits [PDF]

open access: yes, 2001
Flash-algorithm track-reconstruction routines with speed factors 3000-4000 in excess those of traditional iterative routines are presented. The methods were successfully tested in the alignment of the Test Beam setup for the ATLAS Pixel Detector MCM ...
  +6 more
core   +2 more sources

Inexact Bregman iteration with an application to Poisson data reconstruction [PDF]

open access: yes, 2013
This work deals with the solution of image restoration problems by an iterative regularization method based on the Bregman iteration. Any iteration of this scheme requires to exactly compute the minimizer of a function.
Benfenati, Alessandro, Ruggiero, Valeria
core   +1 more source

Novel Fourier-domain constraint for fast phase retrieval in coherent diffraction imaging [PDF]

open access: yes, 2011
Coherent diffraction imaging (CDI) for visualizing objects at atomic resolution has been realized as a promising tool for imaging single molecules. Drawbacks of CDI are associated with the difficulty of the numerical phase retrieval from experimental ...
Chapman   +22 more
core   +1 more source

Home - About - Disclaimer - Privacy