Brain and Spinal Cord multi-shell diffusion MRI dataset

This dataset provides a comprehensive collection of structural and diffusion-weighted magnetic resonance imaging (MRI) data for both the brain and the cervical spinal cord from a cohort of 11 healthy participants. A subset of subjects (6) underwent a second imaging session, allowing for test-retest analyses.

The primary goal of this dataset is to provide high-quality, multi-modal imaging data of both the brain and spinal cord, organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating research into neuroanatomy, white matter microstructure, and advanced image processing techniques across the central nervous system.

Raw Data Includes:

Brain: T1-weighted (T1w), T2-weighted (T2w), FLAIR, and multi-shell diffusion-weighted (dwi) scans, along with a reverse phase-encoded (revPE) scan.

Spinal Cord: T2-weighted (T2w), T2*-weighted (mFFE), and multi-shell diffusion-weighted (dwi) scans, along with a reverse phase-encoded scan.

The data is organized following BIDS v1.9.0, with scans differentiated using acq-brain and acq-cord entities. DWI data for the spinal cord is provided in three separate parts (part-1, part-2, part-3).

Derivatives: A rich set of derivatives is also provided, organized by pipeline within the derivatives/ directory. These include:

Preprocessed DWI data (dwi-preproc).

Diffusion model fits for both brain and cord, in native, T1w, and MNI/template spaces (noddi, smifw, sandi, smt, dtidki).

Registration transforms (registration-tools).

Brain tissue segmentations (tissue-segmentation).

Spinal cord-specific segmentations and template mappings (spinalcord-processing).

FreeSurfer outputs for cortical and subcortical analysis (freesurfer).

This dataset offers a valuable resource for researchers interested in comparative neuroanatomy, developing and validating image analysis tools for both brain and spinal cord, and investigating the microstructure of the central nervous system using advanced diffusion modeling techniques.

本数据集全面收录了11名健康受试者的脑部与颈段脊髓的结构磁共振成像（magnetic resonance imaging, MRI）及弥散加权成像数据。其中6名受试者接受了二次成像扫描，可用于重测分析。

本数据集的核心目标是提供高质量的脑部与脊髓多模态成像数据，并遵循脑成像数据结构（Brain Imaging Data Structure, BIDS）标准进行组织，以助力中枢神经系统相关的神经解剖学、白质微结构及先进图像处理技术的研究。

原始数据包含：
脑部成像：T1加权成像（T1-weighted, T1w）、T2加权成像（T2-weighted, T2w）、液体衰减反转恢复序列（Fluid-Attenuated Inversion Recovery, FLAIR）及多壳层弥散加权成像（multi-shell diffusion-weighted, dwi）扫描，同时配备反向相位编码（reverse phase-encoded, revPE）扫描。
脊髓成像：T2加权成像（T2-weighted, T2w）、T2*加权成像（T2*-weighted, mFFE）及多壳层弥散加权成像（dwi）扫描，同时配备反向相位编码（revPE）扫描。

本数据集遵循BIDS v1.9.0标准进行组织，通过acq-brain与acq-cord实体区分脑部与脊髓成像数据。脊髓的弥散加权成像数据分为三个独立部分（part-1、part-2、part-3）提供。

衍生数据：数据集同时提供了丰富的衍生数据，于derivatives/目录下按处理流程分类存储，具体包括：
1. 预处理后的弥散加权成像数据（dwi-preproc）；
2. 脑部与脊髓的弥散模型拟合结果，涵盖原生空间、T1w空间及MNI/模板空间（包含noddi、smifw、sandi、smt、dtidki）；
3. 配准变换工具（registration-tools）；
4. 脑组织分割结果（tissue-segmentation）；
5. 脊髓特异性分割结果及模板映射数据（spinalcord-processing）；
6. 用于皮层及皮层下分析的FreeSurfer输出结果（freesurfer）。

本数据集为关注以下研究方向的科研人员提供了宝贵资源：比较神经解剖学、开发与验证针对脑部及脊髓的图像分析工具，以及利用先进弥散建模技术探究中枢神经系统的微结构。