Results 61 to 70 of about 2,318 (187)

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

open access: yesMedical 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   +6 more
wiley   +1 more source

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

open access: yesMedical 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   +4 more
wiley   +1 more source

Unblurring ISAR Imaging for Maneuvering Target Based on UFGAN

open access: yesRemote Sensing, 2022
Inverse synthetic aperture radar (ISAR) imaging for maneuvering targets suffers from a Doppler frequency time-varying problem, leading to the ISAR images blurred in the azimuth direction.
Wenzhe Li   +3 more
doaj   +1 more source

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

open access: yesMagnetic 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   +6 more
wiley   +1 more source

Balancing Heterogeneous Image Quality for Improved Cross-Spectral Face Recognition

open access: yesSensors, 2021
Matching infrared (IR) facial probes against a gallery of visible light faces remains a challenge, especially when combined with cross-distance due to deteriorated quality of the IR data. In this paper, we study the scenario where visible light faces are
Zhicheng Cao   +3 more
doaj   +1 more source

Simultaneous Assessment of Skeletal Muscle Energetics and Blood Flow During Dynamic Exercise by Interleaved 31P‐MRS/1H‐MRI

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 1, Page 13-26, July 2026.
ABSTRACT Purpose To simultaneously measure skeletal muscle energetics and blood flow (BF) before, during, and after dynamic plantar flexion exercise (PFE). Methods Non‐localized pulse‐acquire phosphorus‐31 magnetic resonance spectroscopy (31P MRS) and phase contrast flow magnetic resonance imaging (1H MRI) using golden‐angle rotated spiral readouts ...
T. Jake Samuel   +6 more
wiley   +1 more source

Thermal Image Reconstruction Using Deep Learning

open access: yesIEEE Access, 2020
A high-resolution thermal camera is very expensive and is thus difficult to be used. Furthermore, thermal images become blurred in various cases of object motion, camera shaking, and camera defocusing. To solve these problems, a previous super-resolution
Ganbayar Batchuluun   +4 more
doaj   +1 more source

Video‐Based Rainfall Opportunistic Sensing in Hydrology: A Lightweight Machine Learning Approach

open access: yesWater Resources Research, Volume 62, Issue 7, July 2026.
Abstract Video‐based rainfall measurement is a frontier topic in opportunistic sensing; however, rapid, accurate, and robust identification of rainfall‐related rain‐streak features from dynamic videos remains a key challenge, especially for monitoring devices with limited computational resources.
Yongcheng Jin   +5 more
wiley   +1 more source

Blind Image Deblurring Based on Local Edges Selection

open access: yesApplied Sciences, 2019
The edges of images are less sparse when images become blurred. Selecting effective image edges is a vital step in image deblurring, which can help us to build image deblurring models more accurately.
Yue Han, Jiangming Kan
doaj   +1 more source

Ultrafast Blood T1 Measurement Using Golden Angle Rotated Spiral k‐t Sparse Parallel Imaging (GASSP): Evaluations in Both Pre‐ and Post‐Contrast Conditions

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 6, Page 3351-3359, June 2026.
ABSTRACT Purpose Blood T1 is a key parameter for hemodynamic quantification in both non‐contrast‐ and contrast‐enhanced imaging. Individual vessel T1 has been measured using a modified Look–Locker scheme with multi‐shot EPI or FLASH in high spatial resolution, requiring ∼1 min.
Zechen Xu, Feng Xu, Qin Qin, Dan Zhu
wiley   +1 more source

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