A new type of MCA pulses combining constant and offset-independent adiabaticity for magnetic resonance [0.03%]
一种新的结合恒定和偏移无关绝热性的MCA脉冲用于磁共振技术
Alexander V Snadin,Alexei S Kiryutin,Natalya N Fishman et al.
Alexander V Snadin et al.
Adiabatic pulses are widely used in magnetic resonance techniques, and their development and refinement remain very relevant. Adiabatic inverting pulses are highly robust for radiofrequency or microwave magnetic field inhomogeneities and en...
Deformable image registration with strategic integration pyramid framework for brain MRI [0.03%]
用于脑MRI的具有战略性集成金字塔框架的可变形图像配准方法
Yaoxin Zhang,Qing Zhu,Bowen Xie et al.
Yaoxin Zhang et al.
Medical image registration plays a crucial role in medical imaging, with a wide range of clinical applications. In this context, brain MRI registration is commonly used in clinical practice for accurate diagnosis and treatment planning. In ...
Radiomics-based MRI model to predict hypoperfusion in lacunar infarction [0.03%]
基于放射组学的MRI模型预测腔隙性梗死中的低灌注区域
Chia-Peng Chang,Yen-Chu Huang,Yuan-Hsiung Tsai et al.
Chia-Peng Chang et al.
Background: Approximately 20-30 % of patients with acute ischemic stroke due to lacunar infarction experience early neurological deterioration (END) within the first three days after onset, leading to disability or more s...
DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer [0.03%]
基于DCE-MRI的深度学习分析乳腺癌内的肿瘤亚区以预测Ki-67表达水平
Zhimin Ding,Chengmeng Zhang,Cong Xia et al.
Zhimin Ding et al.
Objective: To evaluate whether deep learning analysis (DL) of intratumor subregion based on dynamic contrast-enhanced MRI (DCE-MRI) can help predict Ki-67 expression level in breast cancer. ...
Characterization of the evaluation method for hepatobiliary phase image by liver magnetic resonance imaging using Gd-EOB-DTPA [0.03%]
Gd-EOB-DTPA肝磁共振成像肝胆期图像的评价方法特征研究
Yasuo Takatsu,Shohei Harada,Yuya Yamatani et al.
Yasuo Takatsu et al.
Purpose: This study aimed to characterize quantitative liver-spleen contrast (Q-LSC) and hepatocellular uptake index (HUI) for evaluating hepatobiliary phase (HBP) images using gadolinium-ethoxybenzyl-diethylenetriamine p...
Precipitation of gadolinium from magnetic resonance imaging contrast agents may be the Brass tacks of toxicity [0.03%]
钆类对比剂中的钆沉淀可能是毒性产生的根本原因
Ian M Henderson,Angelica D Benevidez,Curtis D Mowry et al.
Ian M Henderson et al.
The formation of gadolinium-rich nanoparticles in multiple tissues from intravenous magnetic resonance imaging contrast agents may be the initial step in rare earth metallosis. The mechanism of gadolinium-induced diseases is poorly understo...
Optimizing knee joint imaging: A comparative study of 7T MRI sequences [0.03%]
优化膝关节成像：7T MRI序列的比较研究
Xiaoqi Yi,Zhiming Zhen,Xiaoli Gou et al.
Xiaoqi Yi et al.
Purpose: To reduce long scan durations and improve patient comfort while maintaining image quality by assessing varying 7 T MRI sequences to optimize knee joint imaging. ...
DGEDDGAN: A dual-domain generator and edge-enhanced dual discriminator generative adversarial network for MRI reconstruction [0.03%]
用于MRI图像重建的双重域生成器和边缘增强双重判别式生成对抗网络（DGEDDGAN）
Qiaohong Liu,Weikun Zhang,Yuting Zhang et al.
Qiaohong Liu et al.
Magnetic resonance imaging (MRI) as a critical clinical tool in medical imaging, requires a long scan time for producing high-quality MRI images. To accelerate the speed of MRI while reconstructing high-quality images with sharper edges and...
Denoising of 3D magnetic resonance images via edge-enhanced low-rank tensor decomposition [0.03%]
通过边缘增强的低秩张量分解实现三维磁共振图像去噪
Li Wang,Chong Zeng,Xingtuo Zhang et al.
Li Wang et al.
Magnetic Resonance images (MRI) denoising is to obtain high quality image from infectant version. Recently, low-rank tensor (LRT) methods have been developed and attained resounding success in MRI denoising. However, these pure LRT models a...
Quantitative analysis of ureteral jets with dynamic magnetic resonance imaging and a deep-learning approach [0.03%]
动态磁共振成像和深度学习方法对输尿管喷射的定量分析
Mingyan Wu,Wanning Zeng,Yanbin Li et al.
Mingyan Wu et al.
Objective: To develop dynamic MRU protocol that focuses on the bladder to capture ureteral jets and to automatically estimate frequency and duration of ureteral jets from the dynamic images. ...