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...
Role of GIRK2 channels in morphine-induced metabolite changes in the rostral ventromedial medulla [0.03%]
GIRK2通道在延髓头侧腹内核区阿片代谢产物变化中的作用
Ozra Dehkordi,Stephen Lin,Safia F Mohamud et al.
Ozra Dehkordi et al.
Background: The rostral ventromedial medulla (RVM) is a brainstem structure that integrates descending modulatory signaling and contains neurons highly responsive to opioid receptor activation. Despite the well-establishe...
Evaluation of primary lumbar vertebral osteoporosis by MRI fat quantification technique [0.03%]
腰椎骨质疏松症的磁共振脂肪定量评估方法及其与骨折关系的研究
Chumin Huang,Wenzhao Yuan,Chenhui Li et al.
Chumin Huang et al.
Purpose: To investigate the diagnostic value of the 3D multi-echo Dixon (ME-DIXON) and High-Speed T2-Corrected Multiecho Acquisition proton magnetic resonance spectroscopy (1H MRS, HISTO) sequences in MRI for lumbar spine...
Improved image quality and reduced acquisition time in brain MRI using deep learning-based reconstruction: A quantitative and subjective assessment compared to standard MPRAGE in 0.55 T MRI [0.03%]
基于深度学习的脑MRI重建可改善图像质量并减少采集时间：与0.55T标准MPRAGE序列相比的客观和主观评价
Saher Saeed,Dominik Nickel,Elisabeth Weiland et al.
Saher Saeed et al.
Purpose: To assess the impact of deep learning (DL)-based image reconstruction on quantitative and subjective image quality in brain MRI at 0.55 T by comparing DL-reconstructed MPRAGE with standard MPRAGE using comparable...