Colucci Philip G, Gao Madeleine A, Tan Ek Tsoon, Queler Sophie, Belanger Marianne, Tsai Joyce, Carrino John A, Sneag Darryl B
Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, United States of America.
Hospital for Special Surgery, 535 East 70th Street, New York, NY 10021, United States of America.
Clin Imaging. 2025 Mar;119:110400. doi: 10.1016/j.clinimag.2024.110400. Epub 2025 Jan 2.
To develop an educational, interactive, ultra-high resolution, in vivo magnetic resonance (MR) neurography atlas for direct visualization of the brachial plexus and upper extremity.
A total of 16 adult volunteers without known peripheral neuropathy underwent magnetic resonance (MR) neurography of the brachial plexus and upper extremity. To improve vascular suppression, subjects received an intravenous infusion of ferumoxytol. To improve image quality, MR neurography datasets were reconstructed using a deep learning algorithm. The atlas was then developed using a web-based user-interface software, which allowed for labeling of peripheral nerves and muscles, and mapping of muscles to their respective innervation. The user interface was optimized to maximize interactivity and user-friendliness.
Fifteen subjects completed at least one scan with no reported adverse reactions from the ferumoxytol infusions. Adequate vascular suppression was observed in all MR neurography datasets. The images of the brachial plexus and upper extremity included in this atlas allowed for identification and labeling of 177 unique anatomical structures from the neck to the wrist. The atlas was made freely accessible on the internet.
A detailed and interactive MR neurography atlas of the brachial plexus and upper extremity was successfully developed to depict small nerves and fascicular detail with unprecedented spatial and contrast resolution. This freely available online resource (https://www.hss.edu/MRNatlas) can be used as an educational tool and clinical reference. The techniques utilized in this project serve as a framework for continued work in expanding the atlas to cover other peripheral nerve territories.
开发一个用于直接可视化臂丛神经和上肢的教育性、交互式、超高分辨率活体磁共振(MR)神经图谱。
共有16名无已知周围神经病变的成年志愿者接受了臂丛神经和上肢的磁共振(MR)神经成像检查。为了改善血管抑制效果,受试者接受了静脉注射铁羧麦芽糖。为了提高图像质量,使用深度学习算法重建了MR神经成像数据集。然后使用基于网络的用户界面软件开发图谱,该软件允许对外周神经和肌肉进行标记,并将肌肉映射到其各自的神经支配。对用户界面进行了优化,以最大限度地提高交互性和用户友好性。
15名受试者完成了至少一次扫描,未报告铁羧麦芽糖输注的不良反应。在所有MR神经成像数据集中均观察到了充分的血管抑制。本图谱中包含的臂丛神经和上肢图像允许识别和标记从颈部到手腕的177个独特解剖结构。该图谱可在互联网上免费获取。
成功开发了一个详细且交互式的臂丛神经和上肢MR神经图谱,以前所未有的空间和对比分辨率描绘小神经和束状细节。这个免费的在线资源(https://www.hss.edu/MRNatlas)可作为一种教育工具和临床参考。本项目中使用的技术为继续扩展图谱以覆盖其他周围神经区域的工作提供了一个框架。