Results 111 to 120 of about 10,267 (252)

Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten, Beatrice Lena, Chloé Najac, Ruben van den Broek, Peter Börnert, Andrew Webb, Yiming Dong   +6 more
wiley   +1 more source

Physics‐Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi, Huan Minh Luu, Sung‐Hong Park   +2 more
wiley   +1 more source

Comparison parameters PSNR, SSIM and UQI using dataset [38].

, 2019
Comparison parameters PSNR, SSIM and UQI using dataset [38].
Tariq Bashir (127259), Imran Uddin Afridi (6729776), Tariq Mahmood Khan (6729782), Hasan Ali Khattak (6729779), Muhammad Imran (282621)   +4 more
core   +1 more source

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

Non local means image denoising using noise-adaptive SSIM

, 2015
This paper embeds SSIM in place of the L2 norm in a one step Non Local Means (NLM) scheme. This is possible thanks to a new form of SSIM that can be formally derived from the classical SSIM using the spreading error analysis.
Vitulano, D., Panella, D., D. Vitulano, D. Panella, BRUNI, VITTORIA, Panella, Davide, V. Bruni, Vitulano, Domenico   +7 more
core   +1 more source

Модификация алгоритма SSIM

Прикладная информатика, 2010
В статье рассмотрен алгоритм оценки качества изображений SSIM, считающийся одним из лучших. Предложена модификация алгоритма, позволяющая повысить достоверность оценок. Приведены результаты сравнительного тестирования классического и модифицированного алгоритмов на наборе изображений TID2008 2.
openaire   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

Calibrating MS-SSIM for Compression Distortions using MLDS

, 2011
International audienceIn this paper, we describe a recently developed method for assessing perceived image quality, Maximum Likelihood Difference Scaling (MLDS), and use it to assess the performance of MS-SSIM on compression distored images.
Charrier, Christophe, Knoblauch, Kenneth, Maloney, Laurence, T., Bovik, Alan, C., Maloney, Laurence,, Bovik, Alan,, A. C. Bovik, C. Charrier, L. T. Maloney, K. Knoblauch   +9 more
core   +1 more source

Inter‐Shot Motion Correction of Segmented 3D‐GRASE ASL Perfusion Imaging With Self‐Navigation and CAIPI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu, Frederik J. Lange, Peter Jezzard, Joseph G. Woods, Mark Chiew, Thomas W. Okell   +5 more
wiley   +1 more source

The SSIM values of different images under different compression ratios.

, 2019
The SSIM values of different images under different compression ratios.
Jiang Wu (174815), Jiayi Shi (5494958), Xinsheng Li (2391439), Zhilong Xie (7878536), Taiyong Li (7878533)   +4 more
core   +1 more source