Simultaneous CT-MRI reconstruction for constrained imaging geometries using structural coupling and compressive sensing

Y Xi, J Zhao, JR Bennett, MR Stacy… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Objective: A unified reconstruction framework is presented for simultaneous CT-MRI
reconstruction. Methods: In an ideal CT-MRI scanner, CT and MRI acquisitions would occur …

Compressed-sensing (CS)-based micro-DTS reconstruction for applications of fast, low-dose x-ray imaging

JE Oh, HS Cho, DK Hong, MS Lee, YO Park… - Journal of the Korean …, 2012 - Springer
In this paper, we introduce limited-angle tomography in which the object being imaged is
rotated around the center of an inclined X-ray beam, the so-called micro-DTS (digital …

Identification of sampling patterns for high‐resolution compressed sensing MRI of porous materials:'learning'from X‐ray microcomputed tomography data

K Karlsons, DW De Kort, AJ Sederman… - Journal of …, 2019 - Wiley Online Library
There exists a strong motivation to increase the spatial resolution of magnetic resonance
imaging (MRI) acquisitions so that MRI can be used as a microscopy technique in the study …

Spatial Resolution Enhancement for Micro Computerized Tomography Based on Projection Compensation

B LI, M YANG - Acta Armamentarii, 2009 - co-journal.com
For micro-computerized tomography (CT), the imaging spatial resolution can be improved by
increasing the projection magnification. While, for a certain size workpiece, the projection …

Geometrical-based generative adversarial network to enhance digital rock image quality

Y Niu, Y Da Wang, P Mostaghimi, JE McClure, J Yin… - Physical Review …, 2021 - APS
X-ray microcomputed tomography (micro-CT) is a common tool for the study of porous media
structures and properties. High-quality micro-CT data are required to accurately capture …

Novel Design of Industrial Real-Time CT System Based on Sparse-View Reconstruction and Deep-Learning Image Enhancement

Z Fang, T Wang - Electronics, 2023 - mdpi.com
Industrial CT is useful for defect detection, dimensional inspection and geometric analysis,
while it does not meet the needs of industrial mass production because of its time …

Defect detection using trainable segmentation

B Mutiargo, A Garbout… - International Forum on …, 2019 - spiedigitallibrary.org
Additive manufacturing processes create the opportunity for freedom of design as it allows
parts to be manufactured where conventional methods would fail. Printing methods such as …

Adaptive under-sampling deep neural network for rapid and reliable image recovery in confocal laser scanning microscope measurements

JW Wu, KY Chang, LC Fu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Confocal laser scanning microscopy (CLSM) is a non-destructive optical measurement
system of high precision, applicable to the construction of three-dimensional (3-D) …

Micro-computed tomography with contrast enhancement: An excellent technique for soft tissue examination in humans

O Jehoon, HJ Kwon, TH Cho, SH Woo, YH Rhee… - PLoS …, 2021 - journals.plos.org
Manual dissection and histologic examination are commonly used to investigate human
structures, but there are limitations in the damage caused to delicate structures or the …

[PDF][PDF] Micro-computed tomography of sandstone rocks: Raw, filtered and segmented datasets

E Lucas-Oliveira, M Barsi-Andreeta, RF Neumann… - Data in …, 2022 - repositorio.usp.br
abstract High-resolution computed micro-tomography is an important area of science, which
correlates well with several experimental methodologies and serves as a basis for advanced …