Diagnostic accuracy of segmental strain analysis by cardiac magnetic resonance feature tracking for chronic myocardial ischemic scar assessment [0.03%]
基于心脏磁共振特征跟踪的节段应变分析诊断慢性心肌缺血瘢痕的准确性评估
Mohammed Mousa,Islam Mahmoud,Tarek Elkammash et al.
Mohammed Mousa et al.
Rationale and objective: This study investigates the potential of segmental strain parameters derived from cine magnetic resonance imaging (MRI) using feature tracking (FT) to detect chronic ischemic scars in patients wit...
Effect of fetal growth restriction on the development of regional brain volume and neurodevelopmental outcomes: Evidence from magnetic resonance imaging based on a fully automated segmentation method [0.03%]
基于全自动分割方法的磁共振成像证据表明胎儿生长受限对脑区体积发育及神经发育结局的影响
Lingnan Kong,Shijie Huang,Jin Zhang et al.
Lingnan Kong et al.
Purpose: To investigate the impact of fetal growth restriction (FGR) on brain volume development and to identify imaging indicators predictive of poor neurodevelopmental outcomes. ...
Self-supervised learning for MRI reconstruction through mapping resampled k-space data to resampled k-space data [0.03%]
基于重采样k空间数据映射的自监督MRI重建方法
Jinhong Huang,Xinzhen Li,Genjiao Zhou et al.
Jinhong Huang et al.
In recent years, significant advancements have been achieved in applying deep learning (DL) to magnetic resonance imaging (MRI) reconstruction, which traditionally relies on fully sampled data. However, real-world clinical scenarios often d...
Neuroimaging biomarkers of neuroprotection: Impact of voluntary versus enforced exercise in Alzheimer's disease models [0.03%]
阿尔茨海默病模型中自愿运动和强制运动对神经保护的影像学生物标志物的影响
Alexandra Badea,Ali Mahzarnia,Divya Reddy et al.
Alexandra Badea et al.
Exercise is a promising strategy for preventing or delaying Alzheimer's disease (AD), yet its mechanisms remain unclear. We investigated how exercise influences brain structure, function, and behavior in a familial AD model. Mice underwent ...
Linear rotationally invariant kurtosis measures from double diffusion encoding MRI [0.03%]
基于双扩散编码MRI的线性旋转不变kurtosis度量
Hunter G Moss,Thorsten Feiweier,Andreana Benitez et al.
Hunter G Moss et al.
Purpose: To characterize the complete set of linear rotationally invariant kurtosis measures provided by double diffusion encoding (DDE) MRI, show their utility in distinguishing different types of multiple Gaussian compa...
Evaluation of blood supply using dynamic contrast-enhanced magnetic resonance imaging and its application in spinal tumor surgery [0.03%]
基于动态增强磁共振成像脊髓血管构筑的评估及其在脊柱肿瘤手术中的应用
Hongyang Guo,Xueyan Li,Xiaodong Gao et al.
Hongyang Guo et al.
Objective: This study aimed to assess the utility of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in evaluating blood supply for spinal tumors and its predictive value for intraoperative blood loss and t...
Age-related change of glymphatic function in normative children assessed using diffusion tensor imaging-analysis along the perivascular space [0.03%]
基于扩散张量成像的正常儿童脑年龄相关性淋巴样神经系统功能沿血管周围间隙的变化分析
Alex Mun-Ching Wong,Tiing-Yee Siow,Yi-Ting Cheng et al.
Alex Mun-Ching Wong et al.
Background: The glymphatic system, crucial for brain waste removal and homeostasis, has an underexplored developmental trajectory in children. This study describes changes in glymphatic function during childhood via diffu...
End-to-end deep learning-based motion correction and reconstruction for accelerated whole-heart joint T1/T2 mapping [0.03%]
基于端到端的深度学习心脏全心联合T1/T2映射加速运动校正与重建技术
Lina Felsner,Carlos Velasco,Andrew Phair et al.
Lina Felsner et al.
Purpose: To accelerate 3D whole-heart joint T1/T2 mapping for myocardial tissue characterization using an end-to-end deep learning algorithm for joint motion estimation and model-based motion-corrected reconstruction of m...
Depth-dependent characterization of cartilage nanostructures using MRI signal decays [0.03%]
基于MRI信号衰减的软骨纳米结构深度依赖表征
Theodore Aptekarev,Gregory Furman,Vladimir Sokolovsky et al.
Theodore Aptekarev et al.
Objective: The multi-exponential nature of echo decay in nuclear magnetic resonance exam of cartilage complicates the determination of relaxation times. In this study, a novel method has been developed and applied to anal...
Predicting progression of enhancing non-measurable disease in high-grade glioma by using dynamic contrast-enhanced MR imaging [0.03%]
利用动态对比增强磁共振成像预测高级别胶质瘤强化非 measurable 病变的进展
Haimei Cao,Zhousan Huang,Ruowei Qiu et al.
Haimei Cao et al.
Objectives: To investigate the potential of histogram models derived from dynamic contrast-enhanced (DCE) MR imaging in predicting the progression of enhancing non-measurable disease (NMD) persisting after chemoradiothera...