GL-mamba-net: A magnetic resonance imaging restoration network with global-local mamba [0.03%]
基于全局局部纵过蛇模块的磁共振图像修复网络
Ke Liang,Zhijin Lin,Jie Yang et al.
Ke Liang et al.
In clinical practice, magnetic resonance imaging is essential for disease diagnosis and evaluation, although it generally requires a prolonged scanning duration. Recently, several deep learning-based restoration techniques have been introdu...
Arterial spin labelling as a contrast-free alternative to dynamic contrast enhancement for the evaluation of peripheral zone prostatic lesions on MRI [0.03%]
无对比剂动脉自旋标记技术作为动态对比增强磁共振成像评估外周带前列腺病变的替代方法
Valentina Corato,Vincenzo Vingiani,Bernardo Proner et al.
Valentina Corato et al.
Purpose: To assess the correlation between ASL-derived perfusion parameters and enhancement pattern on DCE in patients with histologically uncharacterized lesions of the peripheral prostatic zone. ...
Deep learning-based perfusion quantification and large vessel exclusion for renal multi-TI arterial spin labelling MRI [0.03%]
基于深度学习的肾脏多TI动脉自旋标记MRI灌注定量及大血管排除法研究
Jiaying Zhang,Xiangwei Kong,Xi Lin et al.
Jiaying Zhang et al.
The multi-TI flow-sensitive alternating inversion recovery sequence is a common ASL technique for probing renal perfusion. However, traditional method for quantifying perfusion, bolus arrival time (BAT) and bolus length (BL) from the images...
Prediction of pathological risk factors in rectal cancer using combined extracellular volume fraction from T1 mapping and apparent diffusion coefficient [0.03%]
基于T1图和表观扩散系数的直肠癌病理危险因素预测
Mingyue Zhou,Jianwei Zeng,Chong Wang et al.
Mingyue Zhou et al.
Background: Accurate preoperative prediction of pathological risk factors in rectal cancer is critical for guiding treatment decisions and improving patient outcomes. While the apparent diffusion coefficient (ADC) and ext...
Repeatability of in vivo MR cytometry for measuring cell size and density in healthy human livers [0.03%]
健康人体肝脏中活体MR细胞计数法的重复性研究：测定细胞大小和密度
Xiaoyu Jiang,Chaoyang Jin,Hakmook Kang et al.
Xiaoyu Jiang et al.
Purpose: To evaluate the repeatability of MRI-derived cell size and density measurements in the healthy human liver using MR cytometry, a non-invasive technique for quantifying tissue microstructure, METHODS: Eight health...
Application value of delayed contrast enhancement-T2-fluid-attenuated inversion recovery in traumatic brain injury [0.03%]
延迟对比增强T2-FLAIR序列在脑外伤中的应用价值
Dandan Sun,Kuntao Chen,Di Liang et al.
Dandan Sun et al.
Objective: Exploring the diagnostic value of the contrast-enhanced delayed enhancement-T2-fluid attenuation inversion recovery sequence (CE-T2-FLAIR) in traumatic brain injury (TBI). ...
Impact of RF saturation parameters and magnetization transfer contrast (MTC) signal model selection on amide proton transfer (APT) tumor contrast at 3 T [0.03%]
射频饱和参数及磁化转移对比度(MTC)信号模型选择对3T下氨基质子迁移(APT)肿瘤对比度的影响
Munendra Singh,Sultan Z Mahmud,Kevin Ju et al.
Munendra Singh et al.
Purpose: To evaluate the effect of RF saturation parameters and different amide proton transfer (APT) quantification methods on human brain tumor contrast. ...
R-index: A robust metric for IVIM parameter estimation on clinical MRI scanners [0.03%]
鲁棒的R指数：临床MRI设备上扩散加权成像参数估算指标
Yan Dai,Xun Jia,Yen-Peng Liao et al.
Yan Dai et al.
Purpose: Intravoxel Incoherent Motion (IVIM) model characterizes both water diffusion and perfusion in tissues, providing quantitative biomarkers valuable for tumor characterization. However, parameter estimation through ...
Deep learning approach for DCE-MRI parameter estimation: Evaluating signal intensity and concentration-time curve-based convolution-neural-networks [0.03%]
基于信号强度和浓度时间曲线的卷积神经网络的DCE-MRI参数估计深度学习方法及评价
Piyush Kumar Prajapati,Rakesh Kumar Gupta,Anup Singh
Piyush Kumar Prajapati
Dynamic contrast-enhanced MRI (DCE-MRI) is common technique for assessing tissue perfusion and permeability in brain tumors (e.g., gliomas), using generalized tracer kinetic (GTK) analysis. However, conventional non-linear least squares (NL...
Correction of aliasing artifact in accelerated echo-planar imaging [0.03%]
加速回波平面 Imaging 中_aliasing_伪影的校正方法
Silu Han,Chidi P Ugonna,Nan-Kuei Chen
Silu Han
Purpose: To develop a comprehensive reconstruction pipeline that simultaneously addresses 2D Nyquist and aliasing artifacts in echo-planar imaging (EPI) data acquired using various schemes, including single-shot, multi-sh...