姿势估计方法与X射线参数相比的临床意义 在患有异常结石病的青少年患者中
Go Goto1,2, Kousuke Ariga3, Nobuki Tanaka1
1Department of Orthopaedic Surgery, University of Yamanashi, Yamanashi, Japan.
Spine surgery and related research
|October 14, 2024
概括
使用移动设备的姿势估计可以识别青少年异常学脊椎病 (AIS) 的摄影参数,与放射测量相关. 这项技术有助于查和监测,减少X射线暴露.
科学领域:
- 计算机视觉 计算机视觉
- 医疗成像医学成像
- 整形外科 整形外科 整形外科
背景情况:
- 深度学习已经提升了人类姿势估计的准确性.
- 姿势估计的临床应用,特别是青少年异常学脊椎病 (AIS) 的临床应用尚未得到充分研究.
- 准确的姿势评估对于AIS诊断和管理至关重要.
研究的目的:
- 使用姿势估计来确定AIS患者的摄影参数.
- 为了将这些摄影参数与放射测量相关联.
- 探索在AIS临床摄影中对姿势估计的实用性.
主要方法:
- 在42名AIS患者的手术前照片上使用姿势估计.
- 这些照片是用iPhone 13 Pro拍摄的.
- 推导出五个摄影参数,并分析了与放射测量的相关性.
主要成果:
- 发现了摄影和放射性干部倾斜角度在角平面之间显著的相关性.
- 在摄影的肩膀高度/车身倾斜和冠状平面的放射测量之间发现了显著的相关性.
结论:
- 通过移动设备进行姿势估计显示出AIS查和监测的前景.
- 这种方法有可能减少对基于辐射的诊断成像的需求.
- 为AIS患者提供早期检测和持续的姿势评估.
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