Quantitative transport mapping (QTM) for differentiating benign and malignant breast lesion: Comparison with traditional kinetics modeling and semi-quantitative enhancement curve characteristics [0.03%]
定量转运图（QTM）在鉴别良性与恶性乳腺病灶中的应用：传统动力学建模和半定量强化曲线特征的对比研究
Qihao Zhang,Pascal Spincemaille,Michele Drotman et al.
Qihao Zhang et al.
Purpose: To test the feasibility of using quantitative transport mapping (QTM) method, which is based on the inversion of transport equation using spatial deconvolution without any arterial input function, for automatical...
Optimization of 4D-MR angiography based on superselective pseudo-continuous arterial spin labeling combined with CENTRA-keyhole and view-sharing (4D-S-PACK) for vessel-selective visualization of the internal carotid artery and vertebrobasilar artery systems [0.03%]
基于超选择性伪连续动脉自旋标记结合CENTRA-关键孔和视图共享(4D-S-PACK)的4D-MR血管造影优化，用于颈内动脉系统和椎基底动脉系统的血管特异性可视化
Hiroo Murazaki,Tatsuhiro Wada,Osamu Togao et al.
Hiroo Murazaki et al.
Purpose: This study investigated the optimal labeling position and gradient moment for 4D-MR angiography based on superselective pseudo-continuous arterial spin labeling combined with CENTRA-keyhole and view-sharing (4D-S...
Correlation between molecular prognostic factors and magnetic resonance imaging intravoxel incoherent motion histogram parameters in breast cancer [0.03%]
乳腺癌中分子预后因素与磁共振成像体内不相干运动直方图参数之间的相关性
Wen Feng,Ya Gao,Xing-Ru Lu et al.
Wen Feng et al.
Objective: To explore the efficacy of the quantitative parameter histogram analysis of intravoxel incoherent motion (IVIM) for different molecular prognostic factors of breast cancer. ...
Robust brain MR image compressive sensing via re-weighted total variation and sparse regression [0.03%]
基于重新加权总变差和稀疏回归的鲁棒脑部MR图像压缩感知
Mingli Zhang,Mingyan Zhang,Fan Zhang et al.
Mingli Zhang et al.
Total variation (TV) and non-local self-similarity (NSS) are powerful tools for successfully enhancing compressive sensing performance. However, standard TV approaches often over-smooth detailed edges in the image, due to the uniform regula...
A multi-measure approach for assessing the performance of fMRI preprocessing strategies in resting-state functional connectivity [0.03%]
评估静息态功能连接fMRI预处理策略性能的多测量方法
Michalis Kassinopoulos,Georgios D Mitsis
Michalis Kassinopoulos
It is well established that head motion and physiological processes (e.g. cardiac and breathing activity) should be taken into consideration when analyzing and interpreting results in fMRI studies. However, even though recent studies aimed ...
Longitudinal evaluation of myofiber microstructural changes in a preclinical ALS model using the transverse relaxivity at tracer equilibrium (TRATE): A preliminary study [0.03%]
利用示踪剂平衡状态下的横向弛豫率(TRATE)对临床前ALS模型中的肌纤维微结构变化进行纵向评估的初步研究
Laura C Bell,Alberto E Fuentes,Deborah R Healey et al.
Laura C Bell et al.
T2⁎ relaxivity contrast imaging may serve as a potential imaging biomarker for amyotrophic lateral sclerosis (ALS) by noninvasively quantifying the tissue microstructure. In this preliminary longitudinal study, we investigated the Transver...
Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images [0.03%]
自动术后脑肿瘤分割：基于预处理图像转移学习的深度学习模型
Mina Ghaffari,Gihan Samarasinghe,Michael Jameson et al.
Mina Ghaffari et al.
Automated brain tumour segmentation from post-operative images is a clinically relevant yet challenging problem. In this study, an automated method for segmenting brain tumour into its subregions has been developed. The dataset consists of ...
Construction of super-rapid brain MRA using oblique transverse acquisition phase contrast angiography with tilted optimized non-saturated excitation pulse [0.03%]
倾斜优化非饱和激发脉冲结合斜矢状位采集的相位对比血管成像构建极速脑MRA的方法研究
Daisuke Oura,Riku Ihara,Eiichirou Myo et al.
Daisuke Oura et al.
[Background] Magnetic resonance angiography (MRA) is one of the most important sequences to estimate a cerebrovascular disease. We often encounter poor image quality due to slow arterial flow related to aging and motion artifact caused by d...
Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm [0.03%]
利用基于深度学习的MR重建算法改善外周神经的可视化效果
Kelly C Zochowski,Ek T Tan,Erin C Argentieri et al.
Kelly C Zochowski et al.
Objective: To assess a new deep learning-based MR reconstruction method, "DLRecon," for clinical evaluation of peripheral nerves. Methods: ...
Anatomical knowledge based level set segmentation of cardiac ventricles from MRI [0.03%]
基于解剖知识的MRI心脏心室水平集分割
Xue Shi,Chunming Li
Xue Shi
This paper represents a novel level set framework for segmentation of cardiac left ventricle (LV) and right ventricle (RV) from magnetic resonance images based on anatomical structures of the heart. We first propose a level set approach to ...