Results 321 to 330 of about 7,732,414 (358)

Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience.

AJR. American journal of roentgenology, 2020
OBJECTIVE. The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic CT of the abdomen. MATERIALS AND METHODS.
C. Jensen, Xinming Liu, E. Tamm, A. Chandler, Jia Sun, A. Morani, S. Javadi, N. Wagner-Bartak   +7 more
semanticscholar   +1 more source

Dual-Path Attention Network for Compressed Sensing Image Reconstruction

IEEE Transactions on Image Processing, 2020
Although deep neural network methods achieved much success in compressed sensing image reconstruction in recent years, they still have some issues, especially in preserving texture details.
Yubao Sun, Jiwei Chen, Qingshan Liu, Bo Liu, G. Guo   +4 more
semanticscholar   +1 more source

Super-resolution image reconstruction: a technical overview

IEEE Signal Processing Magazine, 2003
A new approach toward increasing spatial resolution is required to overcome the limitations of the sensors and optics manufacturing technology. One promising approach is to use signal processing techniques to obtain an high-resolution (HR) image (or ...
S. Park, Min Kyu Park, M. Kang
semanticscholar   +1 more source

Image reconstruction in intravascular photoacoustic imaging

IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2011
Intravascular photoacoustic (IVPA) imaging is a technique for visualizing atherosclerotic plaques with differential composition. Unlike conventional photoacoustic tomography scanning, where the scanning device rotates around the subject, the scanning aperture in IVPA imaging is enclosed within the imaged object.
Yae-Lin Sheu, Bao-Yu Hsieh, Pai-Chi Li, Cheng-Ying Chou   +3 more
openaire   +3 more sources

Image reconstruction — a tutorial

Computerized Medical Imaging and Graphics, 2001
This paper is written for physicians and presents basic principles of image reconstruction in nuclear medicine. Both analytical and iterative methods are discussed without rigorous mathematics.
openaire   +3 more sources

Image reconstruction of tubulin hoops

Journal of Ultrastructure Research, 1981
The two-dimensional projected structure of tubulin hoops is reconstructed at a resolution of 1.6 nm from electron images of negatively stained specimens taken at a low electron dose. Like most tubulin aggregates, the hoops consist of protofilaments. A unique feature of hoops is the grouping of protofilaments into triplets.
Mandelkow, E., Mandelkow, E.
openaire   +4 more sources

A Deep Learning Compensated Back Projection for Image Reconstruction of Electrical Capacitance Tomography

IEEE Sensors Journal, 2020
The linear back projection (LBP) algorithm is often used for real-time online image reconstruction of electrical capacitance tomography (ECT) due to its high speed.
Jin Zheng, Lihui Peng
semanticscholar   +1 more source

Advances in PET Image Reconstruction

PET Clinics, 2007
Until recently, the most widely used methods for image reconstruction were direct analytic techniques. Iterative techniques, although computationally much more intensive, produce improved images (principally arising from more accurate modeling of the acquired projection data), enabling these techniques to replace analytic techniques not only in ...
Reader, A. J., Zaidi, H.
openaire   +4 more sources

Image Reconstruction is a New Frontier of Machine Learning

IEEE Transactions on Medical Imaging, 2018
Over past several years, machine learning, or more generally artificial intelligence, has generated overwhelming research interest and attracted unprecedented public attention.
Ge Wang, J. C. Ye, K. Mueller, J. Fessler   +3 more
semanticscholar   +1 more source

Reconstructed Wavefield Imaging

Proceedings, 2017
Summary We propose and implement a novel imaging method, which is referred to as reconstructed wavefield imaging (RWI). The idea of RWI is to solve a partial differential equation (PDE) constrained optimization problem for reconstructing a more reliable source wavefield that satisfies the two-way wave equation and also best fits the recorded data at ...
G. Martin, D. Yingst, C. Wang, P. Farmer, J. Leveille   +4 more
openaire   +2 more sources