Results 61 to 70 of about 12,142,372 (124)
Fast Localized Calibration for Spatial‐Spectral Excitation Without Fly‐Back Gradients
ABSTRACT Purpose Standard spatial‐spectral excitation pulses apply a fly‐back gradient between sub‐pulses, limiting, for example, how thin the slices can be (> 4 mm). Without fly‐back gradients, slices can be as thin as 1.7 mm but require a phase calibration for the sub‐pulses with inverted gradients due to system imperfections.
Michael Schär +3 more
wiley +1 more source
Applying linear algebra to image deblurring [PDF]
This thesis expands on the concepts taught in Applied Linear Algebra (MAT-350), using singular value decomposition (SVD) and discrete cosine transform (DCT), with a focus on image deblurring. The principles discussed throughout this thesis were guided by
Sanborn, John Julian
core
Space-variant blur kernel estimation and image deblurring through kernel clustering
This paper presents a space-variant blur kernel estimation and image deblurring framework. For space-variant blur kernel estimation, the input image is divided into small patches, and for each patch, the blur kernel is estimated.
Güntürk, Bahadır Kürşat +2 more
core +1 more source
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 +10 more
wiley +1 more source
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 +5 more
wiley +1 more source
Image Deblurring in Demanding Conditions
Title: Image Deblurring in Demanding Conditions Author: Jan Kotera Department: Institute of Information Theory and Automation, Czech Academy of Sciences Supervisor: Doc. Ing.
Kotera, Jan
core
Image deblurring is the image restoration process through which undesirable blur is removed from the image. This blur could be caused by many factors, including but not limited to, camera shake and incorrect focus.
Aanchal, Mahajan
core
Compact Snapshot Hyperspectral Imaging With Neural Dispersion‐Engineered Metalens
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
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 +6 more
wiley +1 more source
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 +4 more
wiley +1 more source

