基于静态磁共振图像构建髌股关节准动态三维运动模型

doi:10.13418/j.issn.1001-165x.2017.01.014

中国临床解剖学杂志 ›› 2017, Vol. 35 ›› Issue (1): 69-73.doi: 10.13418/j.issn.1001-165x.2017.01.014

基于静态磁共振图像构建髌股关节准动态三维运动模型

王星亮¹，　刘云鹏¹，　徐志庆¹，　姚杰²，　杨滨³

1.中国人民解放军第101医院，江苏无锡 214004； 2.北京航空航天大学生物医学工程学院, 北京 100191；
3.北京大学国际医院骨科, 北京 102206

收稿日期:2016-01-26 出版日期:2017-01-25 发布日期:2017-02-22
通讯作者: 刘云鹏,主任医师,教授, E-mail:lyplyp22050@sina.com 杨滨，副主任医师，硕士生导师，E-mail:doctoryang bin@qq.com
作者简介:王星亮（1989-），男，医学硕士,研究方向：关节外科,Tel:15055140655，E-mail:wangrenzhi89@126.com
基金资助:
国家自然科学基金（11302248,11502014）；无锡市科技局医疗与公众健康技术研发项目资助（CSE31N1618）；北京大学国际医院院内科研基金资助项目（YN2016QN08）

Three-dimensional reconstruction of subject-specific dynamic patella of femoral joint using static magnetic resonance based methodology

WANG Xing-liang¹, LIU Yun-peng¹, XU Zhi-qing¹, YAO Jie², YANG Bin³

1. No.101 hospital of P.L.A., Wuxi 214044, China; 2. Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100000, China; 3.Departmentof Orthopedics, Peking University International Hospital, Beijing 100000, China

Received:2016-01-26 Online:2017-01-25 Published:2017-02-22
Contact: LIU Yun-peng, E-mail:lyplyp22050@sina.com YANG Bin, E-mail：doctor　yangbin@qq.com

摘要/Abstract

摘要：

目的　创建基于多屈膝角度静态膝关节磁共振图像，构建完整屈伸膝过程的髌股关节准动态三维模型的方法。方法　选择1名健康成年男性，年龄30岁，体重65 kg，身高172 cm，对其右膝关节分别在0°、30°、60°、90°、120°5个屈膝角度进行MRI扫描，并将扫描结果以Dicom格式导入Mimics软件中，提取髌骨、股骨轮廓，重建五个屈膝角度的静态髌股关节三维模型，再将上述五个静态模型导入逆向工程软件Rapidform中进行同一坐标系的配准，利用三次样条插值算法，将离散静态髌股关节模型配准为动态三维运动模型。据此动态三维模型计算髌骨运动轨迹并与既往文献结果对比以验证模型的准确性。结果　基于静态核磁共振图像可以快速构建准确而无辐射的髌股关节准动态三维运动模型，以此动态模型计算出的髌骨运动轨迹和髌股关节旋转轴与既往文献结果相一致。结论　本方法成功构建了包含屈膝0°到120°间的完整髌股关节运动过程，在屈膝过程中，随着屈膝角度的增加，髌骨相对于股骨滑车不断俯屈，同时轻度的外倾和外旋。

关键词: 三维重建, 生物力学, 髌股关节, 磁共振

Abstract:

Objective　To reconstruct the dynamic 3D motion model of patellofemoral joint based on multi-angle static magnetic resonance imaging.　Methods　A healthy adultmale was enrolled, whose right knee was scanned with a MR machine at 0°, 30°, 60°,90°, and 120° of knee flexion, then the MR images were imported into the Mimics in Dicom format, the shape of patella and femoral were extracted to calculate the static 3D model of patellofemoral joint at the five flexion angles. Then import the models into Rapidform at the same coordinate system to match the dynamic model using spline interpolation algorithm, and the patella tracking was calculated and compared with the experiments in literatures.　Results　Using static MR scanning technology could reconstruct the quasi dynamic 3D motion model of patellofemoral joint accurately and without radiation in a short time. The patellar tracking was within the range of experimental measurements which was calculated based on the dynamic model.　Conclusion　The dynamic 3D model of patellofemoral joint is successfully reconstructed which includes the full process of knee bending from full extension to the maximum flexion; during the flexion of knee, the patella keeps rotating and mildly flexing and tilting at the same time.

Key words: Three-dimensional reconstruction, Biomechanics, Patellofemoral joint, MRI

王星亮,刘云鹏,徐志庆,姚杰,杨滨. 基于静态磁共振图像构建髌股关节准动态三维运动模型[J]. 中国临床解剖学杂志, 2017, 35(1): 69-73.

WANG Xing-liang, LIU Yun-peng, XU Zhi-qing,YAO Jie,YANG Bin. Three-dimensional reconstruction of subject-specific dynamic patella of femoral joint using static magnetic resonance based methodology[J]. Chinese Journal Of Clinical Anatomy, 2017, 35(1): 69-73.

参考文献

[1] Lonner JH, Smith JR, Picard F, et al. High degree of accuracy of a novel image-free handheld robot for unicondylar knee arthroplasty[J]. Clin Orthop Relat Res, 2015, 473(1):206-212.
[2] Yang JH, Dahuja A, Kim JK, et al. Alignment in knee flexion position during navigation-assisted total knee arthroplasty[J]. Knee Surg Sports Traumatol Arthrosc, 2016, 24(8):2422-29.
[3] Bugbee WD, Kermanshahi AY, Munro MM, et al. Accuracy of a hand-held surgical navigation system for tibial resection in total knee arthroplasty[J]. Knee，2014, 21(6):1225-1228.
[4] Zhu Z, Li G. An automatic 2D-3D image matching method for reproducing spatial knee joint positions using single or dual fluoroscopic images[J]. Compute Methods Biomech Biomed Engin, 2012, 15(11):1245-1256.
[5] Ohnishi T, Suzuki M, Kobayashi T, et al. Robust 2D/3D registration for fast-flexion motion of the knee joint using hybrid optimization[J]. Radiol Phys Technol, 2013, 6(1):170-179.
[6] Yao J, Yang B, Niu WX, et al. In vivo measurements of patellar tracking and finite helical axis using a static magnetic resonance based methodology [J]. Med Eng Phys, 2014, 36(12):1611-1617.
[7] Asano T, Akagi M, Koike K, et al. In vivo three-dimensional patellar tracking on the femur[J]. Clin Orthop Relat Res, 2003, 8(413):222-232.
[8] Sheehan FT, Derasari A, Brindle TJ, et al. Understanding patellofemoral pain with maltracking in the presence of joint laxity: complete 3D in vivo patellofemoral and tibiofemoral kinematics[J]. J Orthop Res, 2009, 27(5):561-570.
[9] Yin L, Chen K, Guo L, et al. Identifying the Functional Flexion-extension Axis of the Knee: An In-Vivo Kinematics Study[J]. PLoS One, 2015, 10(6): e0128877.
[10]Song S, Mor A, Jaramaz B. HyBAR: hybrid bone-attached robot for joint arthroplasty[J]. Int J Med Robot, 2009, 5(2):223-231.
[11] Wolf A, Jaramaz B, Lisien B, et al. MBARS: mini bone-attached robotic system for joint arthroplasty[J]. Int J Med Robot, 2005, 1(2):101-21.

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基于静态磁共振图像构建髌股关节准动态三维运动模型

Three-dimensional reconstruction of subject-specific dynamic patella of femoral joint using static magnetic resonance based methodology

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