Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
MR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China.
Sci Data. 2024 Oct 15;11(1):1131. doi: 10.1038/s41597-024-03919-4.
Spinal cord injury (SCI) profoundly affects an individual's ability to move. Fortunately, recent advancements in neuromodulation, particularly the spatio-temporal epidural electrical stimulation (EES) targeting the spinal nerve roots, promoted rapid rehabilitation of SCI patients. Such neuromodulation techniques require precise anatomical modelling of spinal cord. However, the lack of spine imaging datasets, especially high-quality magnetic resonance imaging (MRI) datasets highlighting nerve roots, hinders the translation of EES into medical practice. To address this problem, we introduce an open-access lumbosacral spine MRI dataset acquired in 14 healthy adults, using constructive interference in steady state (CISS) sequence, double echo steady state (DESS) sequence, and T2-weight turbo spin echo (T2-TSE) sequence, with enhanced nerve root resolution. The dataset also includes the corresponding anatomical annotations of nerve roots and the final reconstructed 3D spinal cord models. The quality of our dataset is assessed using image quality metrics implemented in MRI quality control tool (MRIQC). Our dataset provides a valuable platform to promote a wide range of spinal cord neuromodulation research and collaboration among neurorehabilitation engineers.
脊髓损伤 (SCI) 严重影响个体的运动能力。幸运的是，神经调节的最新进展，特别是针对脊神经根的时空硬膜外电刺激 (EES)，促进了 SCI 患者的快速康复。这种神经调节技术需要对脊髓进行精确的解剖建模。然而，缺乏脊柱成像数据集，特别是突出神经根的高质量磁共振成像 (MRI) 数据集，阻碍了 EES 在医学实践中的转化。为了解决这个问题，我们引入了一个腰骶部 MRI 数据集，该数据集是在 14 名健康成年人中采集的，使用稳态（CISS）序列、双回波稳态（DESS）序列和 T2 加权涡轮自旋回波（T2-TSE）序列，具有增强的神经根分辨率。该数据集还包括神经根的相应解剖注释和最终重建的 3D 脊髓模型。我们使用 MRI 质量控制工具 (MRIQC) 中实现的图像质量指标来评估我们数据集的质量。我们的数据集为广泛的脊髓神经调节研究以及神经康复工程师之间的合作提供了有价值的平台。
