A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations on 7T T2-weighted images

The hippocampus, a region of critical interest within clinical neuroscience, is recognized as a complex structure comprising distinct subfields with unique functional attributes, connectivity patterns, and susceptibilities to disease. Nevertheless, there is a shortfall of available databases featuring manually segmented hippocampal subfield data. While 7 Tesla (7T) MRI yields images with superior anatomical detail compared to the more prevalent 3 Tesla (3T) MRI utilized in clinical practice, its widespread implementation is limited due to prohibitive costs. To address the limited access to high-resolution imaging in the absence of 7T MRI, the ongoing development of algorithms aims to synthesize 7T-like MRI from standard 3T scans.Here, we disseminate a dataset of whole-brain paired T1-weighted (T1w), T2-weighted (T2w) and resting-state fMRI scans acquired at 3T and 7T scanners, featuring manual hippocampal subfield annotations on the 7T T2-weighted images.The comprehensive description of the design, acquisition, and preparation of the dataset can be found in "readme.txt" file. Image quality is assessed using quality metrics implemented in MRIQC. We expect that this dataset will further tackle the challenges of hippocampus segmentation on routine 3T MRI and serve as a valuable resource for research and development in 3T-to-7T, T1-to-T2, and functional MR image synthesis.

海马体，作为临床神经科学领域中的一个关键兴趣区域，被公认为一个复杂的结构，由具有独特功能性特征、连接模式及疾病易感性的不同亚区组成。尽管如此，目前尚缺乏包含手动分割海马体亚区数据的数据库。虽然与临床上更广泛应用的3特斯拉（3T）MRI相比，7特斯拉（7T）MRI能够提供更优越的解剖细节，但其广泛应用受到高昂成本的制约。为了解决在没有7T MRI的情况下高分辨率成像的有限获取问题，当前的研究正在开发从标准3T扫描中合成类似7T MRI的算法。在此，我们公布了一个包含全脑配对T1加权（T1w）、T2加权（T2w）和静息态fMRI扫描的数据集，这些扫描是在3T和7T扫描仪上获得的，并在7T T2加权图像上进行了手动海马体亚区标注。数据集的设计、获取和准备的综合描述可参见“readme.txt”文件。图像质量评估采用MRIQC中实现的质控指标。我们期望该数据集将进一步解决在常规3T MRI上进行海马体分割的挑战，并作为3T至7T、T1至T2以及功能性MR图像合成的研发宝贵资源的参考。