Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction [0.03%]
基于深度学习的压缩感知三维时空子空间重建（Deli-CS）方法
S Sophie Schauman,Siddharth S Iyer,Christopher M Sandino et al.
S Sophie Schauman et al.
Object: Spatio-temporal MRI methods offer rapid whole-brain multi-parametric mapping, yet they are often hindered by prolonged reconstruction times or prohibitively burdensome hardware requirements. The aim of this projec...
New physiological insights using multi-TE ASL MRI measuring blood-brain barrier water exchange after caffeine intake [0.03%]
新型多TE ASL磁共振成像测量咖啡因摄入后血脑屏障水平的水交换带来的新生理认识
Amnah Mahroo,Mareike Alicja Buck,Simon Konstandin et al.
Amnah Mahroo et al.
Objectives: Caffeine, a known neurostimulant and adenosine antagonist, affects brain physiology by decreasing cerebral blood flow. It interacts with adenosine receptors to induce vasoconstriction, potentially disrupting b...
Systematic evaluation of adhesives for implant fixation in multimodal functional brain MRI [0.03%]
用于多模态功能脑MRI的植入固定粘合剂的系统评估
Anna Zsófia Szinyei,Bastian Maus,Jonas Q Schmid et al.
Anna Zsófia Szinyei et al.
Objective: Invasive multimodal fMRI in rodents is often compromised by susceptibility artifacts from adhesives used to secure cranial implants. We hypothesized that adhesive type, shape, and field strength significantly a...
Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases [0.03%]
神经网络复杂性在自动分割肌萎缩侧索硬化症患者大腿肌肉MRI图像中的重要性
Sandra Martin,Rémi André,Amira Trabelsi et al.
Sandra Martin et al.
Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net ha...
A quality assurance protocol for reliable and reproducible multi-TI arterial spin labeling perfusion imaging in rat livers [0.03%]
可靠的重复的大鼠肝脏多TI动脉自旋标记灌注成像质量保证程序
Wan-Ting Zhao,Karl-Heinz Herrmann,Weiwei Wei et al.
Wan-Ting Zhao et al.
Objective: To establish an arterial spin labeling (ASL) protocol for rat livers that improves data reliability and reproducibility for perfusion quantification. ...
Extraction of 3D trajectories of mandibular condyles from 2D real-time MRI [0.03%]
基于2D实时MRI的下颌关节三维运动轨迹提取方法
Karyna Isaieva,Justine Leclère,Guillaume Paillart et al.
Karyna Isaieva et al.
Objective: Computing the trajectories of mandibular condyles directly from MRI could provide a comprehensive examination, providing both anatomical and kinematic details. This study aimed to investigate the feasibility of...
Improved phosphorus MRSI acquisition through compressed sensing acceleration combined with low-rank reconstruction [0.03%]
结合低秩重建的压缩感知加速改进磷MRSI采集
Julien Songeon,François Lazeyras,Thomas Agius et al.
Julien Songeon et al.
Objectives: Phosphorus-31 magnetic resonance spectroscopic imaging (31P-MRSI) is a non-invasive tool for assessing cellular high-energy metabolism in-vivo. However, its acquisition suffers from a low sensitivity, which ne...
Development of a cost-effective 3D-printed MRI phantom for enhanced teaching of system performance and image quality concepts [0.03%]
一种低成本的3D打印MRI体模的开发，用于增强系统性能和图像质量概念的教学
Habeeb Yusuff,Pierre-Emmanuel Zorn,Céline Giraudeau et al.
Habeeb Yusuff et al.
Purposes: This research highlights the need for affordable phantoms for MRI education. Current options are either expensive or limited. A phantom, easy to manufacture and distribute, is proposed to demonstrate various ped...
FeCl3 and GdCl3 solutions as superfast relaxation modifiers for agarose gel: a quantitative analysis [0.03%]
氯化铁和氯化钆溶液作为琼脂糖凝胶中超快弛豫修正剂的定量分析研究
Nur Najihah Hamzaini,Syafia Afifi Ghazali,Ahmad Nazlim Yusoff et al.
Nur Najihah Hamzaini et al.
Object: This study aimed to evaluate the relaxivity and uniformity of agarose gel phantoms added with relaxation modifiers. It is hypothesized that the modifiers could manipulate the T1 and T2 relaxations as well as the s...
Enhancing MRI radiomics feature reproducibility and classification performance in Parkinson's disease: a harmonization approach to gray-level discretization variability [0.03%]
改善帕金森病MRI影像组学特征的再现性和分类效果：灰度离散化变化的协调方法
Mehdi Panahi,Maliheh Habibi,Mahboube Sadat Hosseini
Mehdi Panahi
Objective: This study aimed to assess the reproducibility of MRI-derived radiomic features across multiple gray-level discretization levels for classifying Parkinson's disease (PD) subtypes, and to evaluate the impact of ...