Results 1 to 10 of about 1,957,229 (358)

Iterative Reconstruction of Memory Kernels [PDF]

Journal of Chemical Theory and Computation, 2017
In recent years, it has become increasingly popular to construct coarse-grained models with non-Markovian dynamics to account for an incomplete separation of time scales. One challenge of a systematic coarse-graining procedure is the extraction of the dynamical properties, namely, the memory kernel, from equilibrium all-atom simulations.
Gerhard Jung, Martin Hanke, Friederike Schmid   +2 more
core   +7 more sources

Fast iterative reconstruction for photoacoustic tomography using learned physical model: Theoretical validation [PDF]

Photoacoustics, 2023
Iterative reconstruction has demonstrated superior performance in medical imaging under compressed, sparse, and limited-view sensing scenarios. However, iterative reconstruction algorithms are slow to converge and rely heavily on hand-crafted parameters ...
Ko-Tsung Hsu, Steven Guan, Parag V. Chitnis   +2 more
doaj   +2 more sources

Iterative algorithm for reconstruction of entangled states [PDF]

Physical Review A, 2001
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. The procedure has been applied to the reconstruction of the entangled pair of photons.
J. Řeháček, Z. Hradil, Miroslav Ježek   +2 more
openalex   +4 more sources

Optimizing computed tomography image reconstruction for focal hepatic lesions: Deep learning image reconstruction vs iterative reconstruction [PDF]

Heliyon
Background: Deep learning image reconstruction (DLIR) is a novel computed tomography (CT) reconstruction technique that minimizes image noise, enhances image quality, and enables radiation dose reduction.
Varin Jaruvongvanich, Kobkun Muangsomboon, Wanwarang Teerasamit, Voraparee Suvannarerg, Chulaluk Komoltri, Sastrawut Thammakittiphan, Wimonrat Lornimitdee, Witchuda Ritsamrej, Parinya Chaisue, Napapong Pongnapang, Piyaporn Apisarnthanarak   +10 more
doaj   +2 more sources

Iterative Reconstruction of Signals on Graph [PDF]

IEEE Signal Processing Letters, 2020
We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or ...
Emanuele Brugnoli, Elena Toscano, Calogero Vetro   +2 more
openaire   +5 more sources

Usefulness of Model-Based Iterative Reconstruction in Brain CT as Compared With Hybrid Iterative Reconstruction [PDF]

Journal of Computer Assisted Tomography, 2021
Objective The aim of this study was to compare the contrast of gray to white matter between forward-projected model-based iterative reconstruction solution (FIRST) and hybrid iterative reconstruction (IR) by measuring computed tomography value of brain parenchyma.
Hiroshi Ito, Osamu Hasegawa, Daichi Kuroiwa, Hirofumi Sekino, Shiro Ishii, Shigeyasu Sugawara, Motoharu Hakozaki, Hideki Fujimaki, Hiroki Suenaga, Hirotake Watanabe, Ryo Yamakuni   +10 more
openaire   +3 more sources

Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction

Journal of Integrative Neuroscience, 2021
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative ...
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Seonkyu Kim, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang   +5 more
doaj   +1 more source

GNSS troposphere tomography based on two-step reconstructions using GPS observations and COSMIC profiles [PDF]

Annales Geophysicae, 2013
Traditionally, balloon-based radiosonde soundings are used to study the spatial distribution of atmospheric water vapour. However, this approach cannot be frequently employed due to its high cost. In contrast, GPS tomography technique can obtain water
P. Xia, P. Xia, C. Cai, Z. Liu
doaj   +1 more source

High performance Savu software for fast 3D model-based iterative reconstruction of large data at Diamond Light Source

SoftwareX, 2022
The challenge of processing big data effectively and efficiently is crucial for many synchrotron facilities which can collect up to several petabytes of data annually.
Daniil Kazantsev, Nicola Wadeson, Mark Basham   +2 more
doaj   +1 more source

An iterative reconstruction algorithm for Faraday tomography [PDF]

Monthly Notices of the Royal Astronomical Society, 2020
ABSTRACT Faraday tomography offers crucial information on the magnetized astronomical objects, such as quasars, galaxies, or galaxy clusters, by observing its magnetoionic media. The observed linear polarization spectrum is inverse Fourier transformed to obtain the Faraday dispersion function (FDF), providing us a tomographic ...
Suchetha Cooray, Tsutomu T Takeuchi, Takuya Akahori, Yoshimitsu Miyashita, Shinsuke Ideguchi, Keitaro Takahashi, Kiyotomo Ichiki   +6 more
openaire   +4 more sources