Suppr超能文献

使用四维 MRI 动态追踪舟状骨、月状骨和头状骨。

Dynamic tracking of scaphoid, lunate, and capitate carpal bones using four-dimensional MRI.

机构信息

Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, United States of America.

出版信息

PLoS One. 2022 Jun 2;17(6):e0269336. doi: 10.1371/journal.pone.0269336. eCollection 2022.

Abstract

A preliminary exploration of technical methodology for dynamic analysis of scaphoid, capitate, and lunate during unconstrained movements is performed in this study. A heavily accelerated and fat-saturated 3D Cartesian MRI acquisition was used to capture temporal frames of the unconstrained moving wrist of 5 healthy subjects. A slab-to-volume point-cloud based registration was then utilized to register the moving volumes to a high-resolution image volume collected at a neutral resting position. Comprehensive in-silico error analyses for different acquisition parameter settings were performed to evaluate the performance limits of several dynamic metrics derived from the registration parameters. Computational analysis suggested that sufficient volume coverage for the dynamic acquisitions was reached when collecting 12 slice-encodes at 2.5mm resolution, which yielded a temporal resolution of and 2.6 seconds per volumetric frame. These acquisition parameters resulted in total in-silico errors of 1.9°±1.8° and 3°±4.6° in derived principal rotation angles within ulnar-radial deviation and flexion-extension motion, respectively. Rotation components of the carpal bones in the radius coordinate system were calculated and found to be consistent with earlier 4D-CT studies. Temporal metric profiles derived from ulnar-radial deviation motion demonstrated better performance than those derived from flexion/extension movements. Future work will continue to explore the use of these methods in deriving more complex dynamic metrics and their application to subjects with symptomatic carpal dysfunction.

摘要

本研究初步探索了在无约束运动中对手舟骨、头状骨和月骨进行动态分析的技术方法。使用加速和脂肪饱和的三维笛卡尔 MRI 采集来捕获 5 名健康受试者无约束运动手腕的时间帧。然后,使用基于板到体点云的配准将运动体积配准到在中立休息位置采集的高分辨率图像体积。对不同采集参数设置进行了全面的仿真误差分析,以评估从配准参数得出的几种动态指标的性能极限。计算分析表明,当以 2.5mm 分辨率采集 12 个片编码时,可实现动态采集的足够体积覆盖,从而获得 2.6 秒/体素帧的时间分辨率。这些采集参数导致衍生的尺桡偏和屈伸运动中的主要旋转角度的总仿真误差分别为 1.9°±1.8°和 3°±4.6°。在手舟骨坐标系中计算了腕骨的旋转分量,发现与早期的 4D-CT 研究一致。源自尺桡偏运动的时间度量曲线的性能优于源自屈伸运动的时间度量曲线。未来的工作将继续探索这些方法在得出更复杂的动态指标中的应用及其在腕部有症状功能障碍的患者中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e9e/9162359/4560afb65a77/pone.0269336.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验