Generating Synthetic MR Spectroscopic Imaging Data with Generative Adversarial Networks to Train Machine Learning Models [0.03%]
基于生成对抗网络的生成合成MR波谱成像数据以训练机器学习模型
Shuki Maruyama,Hidenori Takeshima
Shuki Maruyama
Purpose: To develop a new method to generate synthetic MR spectroscopic imaging (MRSI) data for training machine learning models. Methods: ...
Influence of Gadolinium-based Contrast Media and Inter-reader Variation on the Estimation of Intravoxel Incoherent Motion (IVIM) Parameters in Breast MR Imaging [0.03%]
钆基对比剂及阅片者差异对乳腺MR成像中亚毫米扩散加权成像ivim参数的影响分析
Barbara J Fueger,Raoul Varga,Panagiotis Kapetas et al.
Barbara J Fueger et al.
Purpose: Gadolinium-based contrast media (GBCM) may affect apparent diffusion coefficient measurements on diffusion-weighted imaging. We aimed at investigating the effect of GBCM and inter-reader variation on intravoxel i...
Voxel-Based Morphometry of Progressive Supranuclear Palsy Using a 3D Fast Low-angle Shot Localizer Image: A Comparison with Magnetization-Prepared Rapid Gradient Echo [0.03%]
应用三维FLASH定位像的进行进展性核上性麻痹的体素基морфометрия与磁化准备快速梯度回波法比较
Cong Shang,Shohei Inui,Daita Kaneda et al.
Cong Shang et al.
Purpose: Voxel-based morphometry (VBM) is widely used to investigate white matter (WM) atrophy in patients with progressive supranuclear palsy (PSP). In contrast to high-resolution 3D T1-weighted imaging such as magnetiza...
Deep Learning-based Hierarchical Brain Segmentation with Preliminary Analysis of the Repeatability and Reproducibility [0.03%]
基于深度学习的层次化脑影像分割及其可靠性和一致性的初步分析
Masami Goto,Koji Kamagata,Christina Andica et al.
Masami Goto et al.
Purpose: We developed new deep learning-based hierarchical brain segmentation (DLHBS) method that can segment T1-weighted MR images (T1WI) into 107 brain subregions and calculate the volume of each subregion. This study a...
Akifumi Hagiwara,Masaya Takahashi
Akifumi Hagiwara
This special issue of Magnetic Resonance in Medical Sciences is dedicated to "Advanced Techniques for MR Neuroimaging," featuring nine review articles authored by leading experts. The reviews cover advancements in reproducible research prac...
Utility of Thin-slice Fat-suppressed Single-shot T2-weighted MR Imaging with Deep Learning Image Reconstruction as a Protocol for Evaluating the Pancreas [0.03%]
基于深度学习图像重建的薄层去脂单次激发T2加权MR成像的胰腺评价价值研究
Ryuji Shimada,Keitaro Sofue,Yoshiko Ueno et al.
Ryuji Shimada et al.
Purpose: To compare the utility of thin-slice fat-suppressed single-shot T2-weighted imaging (T2WI) with deep learning image reconstruction (DLIR) and conventional fast spin-echo T2WI with DLIR for evaluating pancreatic p...
Reproducible Research Practices in Magnetic Resonance Neuroimaging: A Review Informed by Advanced Language Models [0.03%]
基于高级语言模型的磁共振神经影像可重复性研究实践综述
Agah Karakuzu,Mathieu Boudreau,Nikola Stikov
Agah Karakuzu
MRI has progressed significantly with the introduction of advanced computational methods and novel imaging techniques, but their wider adoption hinges on their reproducibility. This concise review synthesizes reproducible research insights ...
Arterial Spin Labeling: Key Concepts and Progress Towards Use as a Clinical Tool [0.03%]
动脉自旋标记技术的关键概念及其作为临床工具的发展进展
Narjes Jaafar,David C Alsop
Narjes Jaafar
Arterial spin labeling (ASL), a non-invasive MRI technique, has emerged as a valuable tool for researchers that can measure blood flow and related parameters. This review aims to provide a qualitative overview of the technical principles an...
Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ? [0.03%]
超越宏观结构：放射组学分析在神经影像中有何作用？
Sandhitsu R Das,Ademola Ilesanmi,David A Wolk et al.
Sandhitsu R Das et al.
The most commonly used neuroimaging biomarkers of brain structure, particularly in neurodegenerative diseases, have traditionally been summary measurements from ROIs derived from structural MRI, such as volume and thickness. Advances in MR ...
Tractometry of Human Visual White Matter Pathways in Health and Disease [0.03%]
健康与疾病状态下的人类视神经通路的定量研究
Hiromasa Takemura,John A Kruper,Toshikazu Miyata et al.
Hiromasa Takemura et al.
Diffusion-weighted MRI (dMRI) provides a unique non-invasive view of human brain tissue properties. The present review article focuses on tractometry analysis methods that use dMRI to assess the properties of brain tissue within the long-ra...