Results 81 to 90 of about 20,368 (248)

Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

, 2010
As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation owes to the development of l1-norm optimization techniques, and the fact ...
Dong, Weisheng, Shi, Guangming, Wu, Xiaolin, Zhang, Lei   +3 more
core   +1 more source

A Comparative Study of IVIM‐MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp, Andras Jakab, Christian Federau, Peter T. While   +3 more
wiley   +1 more source

Restoration of Motion Blurred Images Based on Rich Edge Region Extraction Using a Gray-Level Co-Occurrence Matrix

IEEE Access, 2018
To improve the efficiency of blur kernel estimation based on prior knowledge, a method of deblurring an image based on rich edge region extraction using a gray-level co-occurrence matrix is proposed in this paper.
Minghua Zhao, Xin Zhang, Zhenghao Shi, Peng Li, Bing Li   +4 more
doaj   +1 more source

Free‐Breathing Magnetization Transfer Imaging of the Lung at 0.55 T Using bSTAR

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a clinically applicable method for magnetization transfer (MT) imaging of the lung at 0.55 T. Methods MT imaging of the chest was explored in healthy volunteers at 0.55 T using a self‐gated 3D half‐radial dual‐echo balanced steady‐state free precession sequence (bSTAR), a 2D multi‐slice gradient echo method (GRE) acquired in
Alexandra Braun, Grzegorz Bauman, Maurice Pradella, Jonathan Röcken, Katrin E. Hostettler, Oliver Bieri   +5 more
wiley   +1 more source

A mixed single image motion deblur method

Dianzi Jishu Yingyong, 2019
The blind recovery of images is a difficult problem in the field of digital image processing. Researching the restoration of motion blurred images，a hybrid single image motion deblur method is proposed.
Wang Siyu, Li Liangrong, Gu Ping, Li Zhen   +3 more
doaj   +1 more source

Improved Myocardial Sodium Quantification at 7 T Using Interleaved 23Na/1H pTx MRI With Motion and Anatomy‐Based B1 Correction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve accuracy and repeatability of myocardial 23Na quantification in cardiac MRI at 7 T by combining retrospective respiratory and cardiac motion correction with a novel anatomy‐based B1 bias field correction. Methods In this study, a dual‐nuclear interleaved 23Na/1H MRI sequence at 7 T was applied.
Laurent Ruck, Nico Egger, Benedikt Zobler, Judith Schirmer, Sophia Nagelstraßer, Andreas Bitz, Tanja Platt, Simon Konstandin, Christoph Kopp, Michael Uder, Armin Michael Nagel   +10 more
wiley   +1 more source

Singular wavelets on a finite interval

Informatika, 2018
Nonparametric methods are used in complex cases where model information is insufficient. A new method of nonparametric approximation, the singular wavelet method, is developed.
V. M. Romanchak
doaj  

Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel, Jens Wetzl, Daniel Giese, Christoph Tillmanns, Rolf Gebker, Kelvin Chow, Michaela Schmidt, Andreas Lingg, Jens Kübler, Patrick Krumm, Thomas Küstner   +10 more
wiley   +1 more source

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

Magnetic Resonance in Medicine, EarlyView.
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

Hunting motivations, behaviour and forest access: Characterising wildlife hunting practices in a multi‐ethnic, forested landscape of Brunei Darussalam, Southeast Asia

People and Nature, EarlyView.
Abstract Unsustainable hunting practices can alter population dynamics, driving biodiversity declines, which leads to ‘empty forests’. Understanding hunting behaviour, including motivations for hunting and relationships with market drivers, and access to hunting grounds are important to develop affirmative policies to stem biodiversity loss.
Natasha L. M. Mannion, Rachel Gaulton, Maria Erica Jamil, Marion Pfeifer, Johan Willem Ferry Slik, Stephen G. Willis, F. Merlin Franco   +6 more
wiley   +1 more source