上海交通大学学报（医学版）

上海交通大学学报（医学版） >

2024 , Vol. 44 >Issue 9: 1061 - 1068

DOI: https://doi.org/10.3969/j.issn.1674-8115.2024.09.001

论著 · 基础研究

透视立体影像分析技术在假体无菌性松动检测中的应用研究

  • 杨涵 ,
  • 雷浩 ,
  • 徐彼得 ,
  • 吴淏 ,
  • 马寻君 ,
  • 皇艳波 ,
  • 毛远青 ,
  • 张经纬 ,
  • 王金武
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  • 1.上海交通大学生物医学工程学院数字医学临床转化教育部工程研究中心，上海 200030
    2.上海徐汇卓越医工交叉与医学人工智能技术创新中心，上海 200233
    3.上海大学医学院，上海 200444
    4.徐州医科大学医学信息与工程学院，徐州 221004
    5.上海理工大学健康科学与工程学院，上海 200082
    6.上海交通大学医学院附属第九人民医院骨科，上海 200011
杨　涵（1993—），男，硕士；电子信箱：yanghan0609@sjtu.edu.cn
雷　浩（1975—），男，硕士；电子信箱：haolei@emeai.org.cn。第一联系人：（杨　涵、雷　浩并列第一作者）
王金武，电子信箱：Jinwu_wang@163.com。

收稿日期: 2024-01-10

  录用日期: 2024-02-09

  网络出版日期: 2024-09-28

基金资助

国家重点研发计划(2022YFF1202600);上海市科学技术委员会“科技创新行动计划”国内科技合作领域项目(22015820100);上海交通大学医学院双百人项目(20152224);上海交通大学医学院转化医学创新基金(TM201613)

收起

Application of fluoroscopic stereophotogrammetric analysis in the detection of aseptic loosening of prostheses

  • Han YANG ,
  • Hao LEI ,
  • Bide XU ,
  • Hao WU ,
  • Xunjun MA ,
  • Yanbo HUANG ,
  • Yuanqing MAO ,
  • Jingwei ZHANG ,
  • Jinwu WANG
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  • 1.Engineering Research Center of Digital Medicine and Clinical Translation, Ministry of Education of China, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
    2.Shanghai Xuhui Excellent Medical and Industrial Intersection and Medical Artificial Intelligence Technology Innovation Center, Shanghai 200233, China
    3.School of Medicine, Shanghai University, Shanghai 200444, China
    4.School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou 221004, China
    5.School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200082, China
    6.Department of Orthopaedic Surgery, Shanghai Ninth People′s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
WANG Jinwu, E-mail: Jinwu_wang@163.com.

Received date: 2024-01-10

  Accepted date: 2024-02-09

  Online published: 2024-09-28

Supported by

National Key R&D Program of China(2022YFF1202600);Science and Technology Innovation Action Plan of Shanghai Science and Technology Committee(22015820100);“Two-hundred Talents” Program of Shanghai Jiao Tong University School of Medicine(20152224);Translational Medicine Innovation Project of Shanghai Jiao Tong University School of Medicine(TM201613)

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摘要

目的·验证基于2D?3D配准的透视立体影像分析（fluoroscopic stereophotogrammetric analysis，FSA）技术在关节假体无菌性松动早期迁移检测的精度及临床应用可行性。方法·通过图像合成实验验证以光源为中心和以投影物体为中心的二维（two dimension，2D）?三维（three dimension，3D）配准算法在不同工况下FSA技术的精度，通过真实模型实验验证临床应用可行性。图像合成实验通过在虚拟环境下建立与真实环境参数相同的透视投影，记录3D模型（骨或假体）在六自由度变换时的2D透视图像，使用不同的2D?3D配准算法还原3D模型的六自由度变换，计算配准算法的误差。真实模型验证通过骨?假体高精度迁移模拟器模拟关节置换术后骨与假体之间的迁移，利用计算机断层成像及光学扫描重建骨或假体的3D模型，使用透视设备拍摄假体迁移前后的2D透视图像，再通过基于2D?3D配准的FSA技术还原假体的迁移，计算FSA技术的误差。结果·以光源为中心的2D?3D配准算法在不同工况下的精度均高于以投影物体为中心的算法。配准初始条件较好时，以光源为中心的算法与以投影物体为中心的算法相比：旋转误差降低，差异存在统计学意义（P=0.021）；位移误差降低，差异存在统计学意义（P=0.000）。并且，以光源为中心的算法满足临床应用要求所需的相似度更低、配准次数更少。结论·基于2D?3D配准的FSA技术在人工关节假体早期迁移检测中精度满足临床应用要求。该技术可通过检测关节置换术后假体的早期迁移预警假体的晚期无菌性松动，有望通过进一步研究应用于临床。

关键词： 关节假体; 无菌性松动; 早期迁移检测; 透视分析技术

本文引用格式

杨涵 , 雷浩 , 徐彼得 , 吴淏 , 马寻君 , 皇艳波 , 毛远青 , 张经纬 , 王金武 . 透视立体影像分析技术在假体无菌性松动检测中的应用研究[J]. 上海交通大学学报（医学版）, 2024 , 44(9) : 1061 -1068 . DOI: 10.3969/j.issn.1674-8115.2024.09.001

Abstract

Objective ·To verify the accuracy and clinical feasibility of fluoroscopic stereophotogrammetric analysis (FSA) technology based on two dimension (2D)-three dimension (3D) registration for early migration detection of aseptic loosening of joint prostheses. Methods ·2D-3D registration algorithms centering on the light source and projected object respectively in FSA technology were verified under various working conditions through image synthesis experiments, and the feasibility of clinical application was verified through real model experiments. The image synthesis experiment established a perspective projection environment with the same parameters as the real environment in a virtual environment, the 2D perspective images of the 3D model (bone or prosthesis) during the six degrees of freedom transformation were recorded, and the six degrees of freedom transformation of the 3D model was restored by using different 2D-3D registration algorithms. The error of each registration algorithm was calculated. For real model validation, the migration between bone and prosthesis after joint replacement surgery was simulated with a high precision bone prosthesis migration simulator. The 3D model of the bone or prosthesis was reconstructed by using computed tomograph (CT) images and optical scanning, and the 2D perspective images before and after prosthesis migration were captured by using a fluoroscopy device. The migration of the prosthesis was restored by using FSA technology based on 2D-3D registration, and the error of FSA technology was calculated. Results ·The accuracy of the 2D-3D registration algorithm centering on the light source was higher than that of the algorithm centering on the projected object under different working conditions. When the initial registration conditions were favorable, the algorithm centering on the light source reduced the rotation error compared to the algorithm centering on the projected object, with a statistical difference (P=0.021), and the displacement error decreases, with a significant statistical difference (P=0.000). Moreover, algorithms centering on the light sources required lower similarity and fewer registration times to meet clinical application requirements. Conclusion ·The accuracy of FSA technology based on 2D-3D registration in early migration detection of artificial joint prostheses meets clinical application requirements. This technology can warn of late aseptic loosening of prostheses by detecting early migration of prostheses after joint replacement surgery, and is expected to be applied to clinical practice through further research.

Key words： joint prosthesis; aseptic loosening; early migration detection; fluoroscopic analysis technology

参考文献

1 边焱焱, 程开源, 常晓, 等. 2011至2019年中国人工髋膝关节置换手术量的初步统计与分析[J]. 中华骨科杂志, 2020, 40(21): 1453-1460.
1 BIAN Y Y, CHENG K Y, CHANG X, et al. Reports and analysis of amount of hip and knee arthroplasty in China from 2011 to 2019[J]. Chinese Journal of Orthopaedics, 2020, 40(21): 1453-1460.
2 LEWIS P L, GRAVES S E, CUTHBERT A, et al. What is the risk of repeat revision when patellofemoral replacement is revised to TKA? An analysis of 482 cases from a large national arthroplasty registry[J]. Clin Orthop Relat Res, 2019, 477(6): 1402-1410.
3 ROOF M A, NARAYANAN S, LORENTZ N, et al. Impact of time to revision total knee arthroplasty on outcomes following aseptic failure[J]. Knee Surg Relat Res, 2023, 35(1): 15.
4 OLTEAN-DAN D, APOSTU D, TOMOAIA G, et al. Causes of revision after total hip arthroplasty in an orthopedics and traumatology regional center[J]. Med Pharm Rep, 2022, 95(2): 179-184.
5 FONTALIS A, HADDAD F S. Roentgen stereophotogrammetric analysis: still a very valuable tool in the orthopaedic research armamentarium[J]. Bone Joint Res, 2022, 11(4): 210-213.
6 XU J, SONNTAG R, KRETZER J P, et al. Model-based roentgen stereophotogrammetric analysis to monitor the head-taper junction in total hip arthroplasty in vivo: and they do move[J]. Materials, 2020, 13(7): 1543.
7 DAMMERER D, BLUM P, PUTZER D, et al. Subsidence of a metaphyseal-anchored press-fit stem after 4-year follow-up: an EBRA-FCA analysis[J]. Arch Orthop Trauma Surg, 2022, 142(8): 2075-2082.
8 DAMMERER D, BLUM P, PUTZER D, et al. Good mid-term results with the trident peripheral self-locking cup: a clinical evaluation and migration measurement with EBRA[J]. Arch Orthop Trauma Surg, 2021, 141(2): 327-332.
9 CLARKE S G, LOGISHETTY K, HALEWOOD C, et al. Low dose CT-based spatial analysis (CTSA) to measure implant migration after ceramic hip resurfacing arthroplasty (HRA): a phantom study[J]. Proc Inst Mech Eng H, 2023, 237(3): 359-367.
10 LI G A, VAN DE VELDE S K, BINGHAM J T. Validation of a non-invasive fluoroscopic imaging technique for the measurement of dynamic knee joint motion[J]. J Biomech, 2008, 41(7): 1616-1622.
11 ZOU D Y, TAN J Q, ZHENG N, et al. Larger medial contact area and more anterior contact position in medial-pivot than posterior-stabilized total knee arthroplasty during in-vivo lunge activity[J]. Bioengineering, 2023, 10(3): 290.
12 HU Y, ZOU D Y, JIANG M D, et al. Postoperative hip center position is associated with gait symmetry in range of axial rotation in dysplasia patients after THA[J]. Front Surg, 2023, 10: 1135327.
13 廖广姗.基于模型和图像的动态Fluoroscopic Stereophotogrammetric Analysis(FSA)技术检测人工髋关节无菌性松动的研究[D]. 上海:上海交通大学, 2013.
13 LIAO G S. A study on the detection of aseptic loosening of artificial hip joints using dynamic fluoroscopic stereographic analysis (FSA) technology based on models and images [D]. Shanghai: Shanghai Jiao Tong University, 2013.
14 廖广姗, 李慧武, 王金武, 等. 人工髋关节无菌性松动失效的生物力学分析与诊断推理[J]. 医用生物力学, 2012, 27(3): 251-257.
14 LIAO G S, LI H W, WANG J W, et al. Biomechanical analysis and reasoning on aseptic loosening failure after total hip arthroplasty[J]. Journal of Medical Biomechanics, 2012, 27(3): 251-257.
15 PRINS A H, KAPTEIN B L, STOEL B C, et al. Performance of local optimization in single-plane fluoroscopic analysis for total knee arthroplasty[J]. J Biomech, 2015, 48(14): 3837-3845.
16 FONSECA ULLOA C A, SEEGER A, HAGEDORN F S, et al. Development and validation of an algorithm to determine the minimal factors needed for non-invasive measurement of the in vivo primary stability of cementless hip implants[J]. Med Eng Phys, 2023, 111: 103932.
17 KIEVIT A J, BUIJS G S, DOBBE J G G, et al. Promising results of an non-invasive measurement of knee implant loosening using a loading device, CT-scans and 3D image analysis[J]. Clin Biomech, 2023, 104: 105930.
18 HEILEMANN M, WENDLER T, MüNST P, et al. A novel micromotion measurement method to gain instructive insight into the acetabular bone-implant interface[J]. Med Eng Phys, 2020, 86: 138-145.
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