A unified approach for maintaining MRI reconstruction quality and quantifying both aleatoric and epistemic uncertainty [0.03%]
兼顾维护MRI重建质量与量化数据不确定性和模型不确定性统一方法学研究
Satoshi Kuroki,Naoto Fujita,Yasuhiko Terada
Satoshi Kuroki
This study investigates practical design choices for Bayesian uncertainty quantification (UQ) in model-based deep learning (MoDL) for accelerated MRI reconstruction. Specifically, we examine where to introduce stochastic layers to capture e...
A Bayesian approach to 2D acceleration for studying activation detection rate for simultaneously encoded slice acquisition in FMRI [0.03%]
一种基于贝叶斯的二维加速方法研究同时编码切片采集功能磁共振激活检测率
Ke Xu,Daniel B Rowe
Ke Xu
Functional Magnetic Resonance Imaging (fMRI) enables researchers to study brain function and advance understanding in human sciences. Spatial and temporal changes in brain metabolism as by detecting the Blood Oxygen Level Dependent (BOLD) c...
Corrigendum to Diffusion MRI measures detect brain microstructure changes due to early treatment with neurotrophic peptide mimetic P021 in the 3xTg-AD mouse model of Alzheimer's disease. Magn Reson Imaging. 2026 Jun;129:110641 Page: 9 [0.03%]
扩散MRI测量检测到神经营养肽模拟物P021早期治疗对3xTg-AD小鼠阿尔茨海默病模型脑微结构变化的影响的更正说明磁共振成像杂志2026年第6期第9页
M F Falangola,J Voltin,M Cole et al.
M F Falangola et al.
Published Erratum
Magnetic resonance imaging. 2026 Jul:130:110677. DOI:10.1016/j.mri.2026.110677 2026
Numerical simulation of volumetric metamaterial integration for loop RF coil SNR map homogenization in human head MRI [0.03%]
体积型电磁调制材料在人体头部磁共振成像中均匀化线圈SNR分布的数值模拟研究
Muhammadreza Asgari,Mohammad Mohammadzadeh
Muhammadreza Asgari
Loop radiofrequency (RF) coils are widely employed for imaging superficial anatomical structures due to their high sensitivity near the coil. However, their performance declines in deeper regions such as the brain, where reduced signal-to-n...
Volumetric diffusion and fat imaging of symptomatic carotid plaques on seven tesla magnetic resonance imaging [0.03%]
7特斯拉磁共振成像的颈动脉斑块体积弥散及脂肪成像
Simon Stemmler,Dominik von Elverfeldt,Michael Weinbeck et al.
Simon Stemmler et al.
Background: Stroke caused by carotid plaques is a major cause of morbidity and mortality. Magnetic resonance imaging (MRI) can assess the degree of stenosis and plaque composition. Inflammation and lipid content are chall...
Target-driven acquisition and super-resolution reconstruction for magnetic resonance imaging [0.03%]
目标导向获取与磁共振超分辨率重建
Nikolai J Mickevicius,Eric S Paulson
Nikolai J Mickevicius
At the time of magnetic resonance imaging guided radiation therapy treatment delivery, the location of the target volume has been well established. During treatment of abdominal and thoracic tumors, real-time localization of the target usin...
Three unbiased anisotropic diffusion filtering models with optimized parameters for Rician noise removing in MR images [0.03%]
三种各向异性扩散的鲁棒Rician去噪模型及其参数优化方法
Samir Yesli,Moussa Diaf
Samir Yesli
Due to the inherent correlation between Rice's noise and the Magnetic Resonance (MR) signal that occurs during the MR images formation, denoising these images is an important but complex process, as it can prove insufficient and even result...
Population arterial input function measured from low dose breast ultrafast dynamic contrast enhanced MRI and fitted with a new mathematic model [0.03%]
低剂量快速动态增强磁共振测量外周动脉输入函数并用新的数学模型拟合
Xiaobing Fan,Zhen Ren,Hiroyuki Abe et al.
Xiaobing Fan et al.
Purpose: To introduce a method for measuring an arterial input function (AIF) from breast ultrafast dynamic contrast enhanced (DCE) MRI with a very low dose (15% of standard dose) of contrast media, and fit it with a new ...
Geometrically-derived density compensation function for gridding reconstruction of 2D and 3D non-Cartesian MRI data [0.03%]
基于几何的密度补偿函数用于二维和三维非笛卡尔MRI数据的网格重建
Oluyemi Aboyewa,Daniel Kim,KyungPyo Hong
Oluyemi Aboyewa
Purpose: Density compensation function (DCF) is essential for minimizing reconstruction errors in non-Cartesian MRI. This study aimed to extend a geometrically-derived DCF (gDCF), previously validated for 2D radial MRI, t...
A framework for rapid, repeatable, and high-fidelity whole-brain multi-pool CEST imaging at 3 T [0.03%]
一种在3特斯拉下进行整个大脑多池CEST成像的快速、可重复和高保真的框架
Yupeng Wu,Siyuan Fang,Siyuan Wang et al.
Yupeng Wu et al.
Purpose: To develop and validate a framework for rapid, accurate, and repeatable whole-brain, multi-pool chemical exchange saturation transfer (CEST) imaging at 3 T, addressing challenges of long acquisition times and con...