Accuracy and Reliability of Synthetic Computed Tomography for Model-Based Tracking of Biplane Videoradiography Data

基于模型的双平面视频放射成像数据跟踪的合成计算机断层扫描的准确性和可靠性

阅读:1

Abstract

PURPOSE: Biplane videoradiography (BVR) accurately measures hip kinematics in vivo. One downside of BVR is that it typically requires a pelvic computed tomography (CT) scan to reconstruct surfaces for model-based tracking (MBT), increasing the radiation burden to participants. Synthetic CT (sCT) from magnetic resonance imaging (MRI) provides similar volumetric image-based data. The purpose of this study was to assess the effect sCT has on the accuracy and reliability of in vivo hip kinematics from BVR data. METHODS: Three asymptomatic participants received CT and MRI scans and were imaged with BVR while standing and during gait. Kinematics were calculated from femur and pelvis surfaces reconstructed from CT and sCT scans. Accuracy and inter-/intra-reviewer reliability of hip kinematics using sCT were assessed against CT as the reference using mean absolute error (MAE), mean difference (MD), precision, and inter-/intra-class correlation coefficients (ICCs). Kinematics were represented with and without correction for standing posture. RESULTS: MAE, MD, and precision of posture-corrected sCT kinematic results were 0.85, 0.60, and 0.71° for rotations and 0.40, 0.23, and 0.39 mm for translations, respectively. Accuracy of posture-corrected joint angles was within 0.17° of prior MBT validation in the hip, while translation accuracy and precision were greater herein. Kinematic results using CT and sCT had similar reliability. CONCLUSION: The results of this study establish novel reliability metrics for in vivo hip kinematics from BVR. Findings indicate that sCT can be used in lieu of CT to measure in vivo hip kinematics, reducing radiation burden of BVR hip kinematic protocols by up to 73%.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。