A non-invasive method for kinematic analysis of knee joints

M. Akter, A. Lambert, M. Pickering, J. Scarvell, Paul N. Smith
{"title":"A non-invasive method for kinematic analysis of knee joints","authors":"M. Akter, A. Lambert, M. Pickering, J. Scarvell, Paul N. Smith","doi":"10.1109/ISSPIT.2013.6781912","DOIUrl":null,"url":null,"abstract":"The most popular and accurate kinematic analysis methods for musculoskeletal injuries or diseases, prosthesis planning and design are invasive in nature. The invasive methods are harmful and painful for the patient and not practically feasible to use for pre-operation planning on healthy knees. This paper presents a novel non-invasive, accurate kinematic analysis approach for measuring the relative motion of knee joints. A multi-modal image registration algorithm is used which successfully registers 3D CT to 2D single-plane fluoroscopy data for large initial displacements between the images. The proposed algorithm utilizes a log-polar transforms (LPT) mapping for in-pane translations, rotation and out-of-plane translation, a conjugate directional search (CDS) for out-of-plane rotation, and a fast digitally reconstructed radiograph (DRR) generation method using partial volume interpolation. Experimental results show that the achieved accuracy for kinematic analysis is similar to the invasive Roentgen stereophotogrammetric analysis (RSA) method.","PeriodicalId":88960,"journal":{"name":"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology","volume":"145 1","pages":"000386-000391"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... IEEE International Symposium on Signal Processing and Information Technology. IEEE International Symposium on Signal Processing and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2013.6781912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The most popular and accurate kinematic analysis methods for musculoskeletal injuries or diseases, prosthesis planning and design are invasive in nature. The invasive methods are harmful and painful for the patient and not practically feasible to use for pre-operation planning on healthy knees. This paper presents a novel non-invasive, accurate kinematic analysis approach for measuring the relative motion of knee joints. A multi-modal image registration algorithm is used which successfully registers 3D CT to 2D single-plane fluoroscopy data for large initial displacements between the images. The proposed algorithm utilizes a log-polar transforms (LPT) mapping for in-pane translations, rotation and out-of-plane translation, a conjugate directional search (CDS) for out-of-plane rotation, and a fast digitally reconstructed radiograph (DRR) generation method using partial volume interpolation. Experimental results show that the achieved accuracy for kinematic analysis is similar to the invasive Roentgen stereophotogrammetric analysis (RSA) method.
一种无创的膝关节运动学分析方法
对于肌肉骨骼损伤或疾病,假体规划和设计是最流行和最准确的运动学分析方法,其本质上是侵入性的。侵入性方法对患者是有害的和痛苦的,实际上不适用于健康膝关节的术前计划。本文提出了一种测量膝关节相对运动的新型无创、精确的运动学分析方法。采用多模态图像配准算法,成功地将三维CT与二维单平面透视数据进行配准,以实现图像之间的大初始位移。该算法利用对数极坐标变换(LPT)映射进行窗格内平移、旋转和面外平移,共轭方向搜索(CDS)进行面外旋转,以及使用部分体积插值的快速数字重建x线照片(DRR)生成方法。实验结果表明,该方法的运动学分析精度与侵入式伦琴立体摄影测量分析(RSA)方法相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信