全髋关节置换术中测量杯位的新型自动2D-3D配准软件的准确性。

IF 2.3 3区 医学 Q3 ENGINEERING, BIOMEDICAL
Jevan Arulampalam, Moritz F Ehlke, Christopher Plaskos, Qing Li, Catherine Z Stambouzou, James A Sullivan, Michael I Solomon, Eric M Slotkin
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引用次数: 0

摘要

目的:本研究评估了全自动2D-3D配准软件在全髋关节置换术(THA)中将骨盆和髋臼部件的术前3D模型与术中2D透视图像匹配的准确性。方法:我们开发了一种2D-3D配准软件,将术前CT的骨盆三维模型和髋臼植入物的3D模型注册到术中透视成像中,从而计算植入物相对于三维骨盆参考框架的位置。共使用145个数据集,包括65个数字重建x线片,20个干骨影数据集和60个术前CT和术中透视成像的临床数据集。使用3D/3D配准方法从术后CT上确定临床图像中获得的髋臼位置。通过比较2D-3D软件计算的髋臼位置与地面真实数据来评估准确性。结果:在所有数据集中,地面真实值与2D-3D软件之间的平均绝对差异为倾斜1.9°[符号误差范围:-4.4,4.8],前倾1.5°[-7.3,4.1],杯高1.6 mm[-5, 3.8],深度1.8 mm[-7.3, 4.1]。总的来说,100%的倾斜结果和98%的前倾结果在5°以内,90%的高度结果和81%的深度结果在3mm以内。结论:我们验证了用于THA的自动2D-3D配准软件的准确性。虽然我们的方法需要术前CT数据,但结果与机器人技术和基于图像的导航相当,并且提出了一种有前途的,简单的技术,可以很容易地集成到THA的手术室中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy of a novel, automated 2D-3D registration software for measuring cup position in total hip arthroplasty.

Purpose: This study evaluated the accuracy of an automated 2D-3D registration software for matching preoperative 3D models of the pelvis and acetabular component to intraoperative 2D fluoroscopy images in total hip arthroplasty (THA).

Methods: We developed a 2D-3D registration software that registers a 3D model of the pelvis from preoperative CT and a 3D model of the acetabular implant to intraoperative fluoroscopic imaging, thereby calculating the implant position relative to the 3D pelvic reference frame. A total of 145 datasets were used including 65 digitally reconstructed radiographs, 20 dry bone phantoms datasets and 60 clinical datasets with preoperative CT and intraoperative fluoroscopy imaging. Achieved acetabular positions from the clinical images were determined from post-operative CT using a 3D/3D registration method. Accuracy was assessed by comparing the calculated acetabular position from the 2D-3D software to the ground truth data.

Results: Mean absolute difference between ground truth and the 2D-3D software was 1.9° [signed error range: -4.4, 4.8] for inclination, 1.5° [-7.3, 4.1] for anteversion, 1.6 mm [-5, 3.8] for cup height and 1.8 mm [-7.3, 4.1] for depth across all datasets. In total, 100% of inclination results and 98% of anteversion results were within 5° while 90% of height and 81% of depth results were within 3 mm.

Conclusion: We validated the accuracy of an automated 2D-3D registration software for use in THA. While our method requires preoperative data from CT, the results are comparable to robotics and image-based navigation, and present a promising, simple technology that can be easily integrated into an operating room for THA.

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来源期刊
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery ENGINEERING, BIOMEDICAL-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
5.90
自引率
6.70%
发文量
243
审稿时长
6-12 weeks
期刊介绍: The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.
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