Results 61 to 70 of about 9,140,641 (221)

Reducing Motion Artifact in High Resolution 7 T MRI Using the Magnetic Resonance Minimal Motion (“MR‐MinMo”) Head Stabilization Device

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1486-1501, September 2026.
ABSTRACT Purpose To evaluate the effectiveness of the MR‐MinMo head stabilization device in mitigating motion artifacts during long‐duration, high‐resolution 7 T MRI scans, with and without retrospective motion correction Methods The MR‐MinMo was tested on seven pediatric and 12 adult healthy volunteers using 0.6 mm isotropic, 3D Multi‐Echo Gradient ...
Jyoti Mangal, Simon Richardson, Yannick Brackenier, Matthew Gardner, Pierluigi Di Cio, Chiara Casella, Shaihan Malik, Jo Hajnal, Martina F. Callaghan, Fred Dick, David W. Carmichael   +10 more
wiley   +1 more source

3D MR Fingerprinting for Quantitative Bladder Wall T1, T2, and M0 Mapping in Healthy Subjects at 1.5 T and 3 T

NMR in Biomedicine, Volume 39, Issue 9, September 2026.
Current diagnostic tests for lower urinary tract symptoms lack the ability to assess tissue‐level alterations in the bladder wall. This study introduces an approach for simultaneous high‐resolution 3D T1, T2, and proton density mapping of the bladder wall using magnetic resonance fingerprinting combined with a self‐supervised deep learning ...
Shane A. Wells, Giulia M. Ippolito, Melis Ozkan, Wilson Sui, Anne P. Cameron, Jesse I. Hamilton   +5 more
wiley   +1 more source

A Fractional-Order Fidelity-Based Total Generalized Variation Model for Image Deblurring

Fractal and Fractional, 2023
Image deblurring is a fundamental image processing task, and research for efficient image deblurring methods is still a great challenge. Most of the currently existing methods are focused on TV-based models and regularization term construction; little ...
Juanjuan Gao, Jiebao Sun, Zhichang Guo, Wenjuan Yao   +3 more
doaj   +1 more source

Compact Snapshot Hyperspectral Imaging With Neural Dispersion‐Engineered Metalens

Nanophotonics, Volume 15, Issue 15, 13 August 2026.
A dispersion‐engineered metalens, designed via an end‐to‐end deep learning framework, encodes spectral information through wavelength‐dependent PSF shifts. Fabricated by two‐photon grayscale lithography, the ultrathin device demonstrates outstanding spatial‐spectral reconstruction in both indoor and outdoor scenes, positioning it as a promising ...
Peng Liu, Jiaru Chu, Yuhang Chen
wiley   +1 more source

Motion Deblurring in Image Color Enhancement by WGAN

International Journal of Optics, 2020
Motion deblurring and image enhancement are active research areas over the years. Although the CNN-based model has an advanced state of the art in motion deblurring and image enhancement, it fails to produce multitask results when challenged with the ...
Jiangfan Feng, Shuang Qi
doaj   +1 more source

Development of an adjustable dynamic phantom for testing deviceless motion correction algorithm in PET

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Respiratory motion during PET Imaging leads to blurring, volumetric overestimation, and reduced quantitative accuracy. Deviceless motion correction algorithms (MCA) such as OncoFreeze (OF) by Siemens Healthineers (Forchheim, Germany) extract respiratory waveforms from list‐mode data but require validation that cannot be obtained in ...
Christian Kühnel, Tabea Nikola Schmidt, Leonie Schreiber, Holger Ginter, Michael Händel, Martin Freesmeyer, Falk Gühne   +6 more
wiley   +1 more source

Image deblurring comparison for synthetic images.

, 2018
(a) denotes the input image and real blur kernel. (b) denotes the matched exemplar. (c) denotes the predicted ∇S. (d)—(j) denote the deblurring results of Krishnan[12], Xu eta.[17], Shan[15], Xu & Jia[7], Levin[16], Pan[9] and our method, respectively ...
Houjie Li (4918960), Shengyang Luan (4918963), Haiyu Song (4918954), Tianshuang Qiu (4918966), Linxiu Wu (4918957)   +4 more
core   +1 more source

Texture-Aware Deblurring for Remote Sensing Images Using $ \ell _0$-Based Deblurring and $ \ell _2$-Based Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
This article presents an image deblurring method using ℓ0-norm-based deblurring and ℓ2-norm-based texture-aware image fusion for remote sensing images.
Heunseung Lim, Soohwan Yu, Kwanwoo Park, Doochun Seo, Joonki Paik   +4 more
doaj   +1 more source

A hybrid deep learning framework for real‐time speckle reduction and image enhancement on portable ultrasound systems

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Speckle patterns in ultrasound images often obscure anatomical details, leading to diagnostic uncertainty. Recently, various deep learning‐based techniques have been introduced to effectively suppress speckle; however, their high computational costs pose challenges for low‐resource devices, such as portable ultrasound systems ...
Hyunwoo Cho, Jaeseok Lee, Jongsoo Lee, Yangmo Yoo, Jinbum Kang   +4 more
wiley   +1 more source

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 596-610, August 2026.
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong, Yang Gao, Feng Liu, Derek Emery, Ken Butcher, Alan H. Wilman, Hongfu Sun   +6 more
wiley   +1 more source