Xianzhong Xie , Mingzhu Zhu , Weijian Chen , Jie Xu , Bingwei He
{"title":"Efficient contact-based registration for minimally invasive anterior hip arthroplasty","authors":"Xianzhong Xie , Mingzhu Zhu , Weijian Chen , Jie Xu , Bingwei He","doi":"10.1016/j.bspc.2024.107216","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces an efficient contact-based registration method for minimally invasive anterior hip arthroplasty. Unlike existing methods that involve radiation exposure, implanted screws, or tedious point collection, our method requires only one contact within the acetabulum and two contacts on the landmarks. Inspired by the probe’s ball tip, we define a unique position, named <em>stable point</em>, to decouple translation from the overall transformation. The stable point in patient space is easily acquired by our tool, simplifying translation estimation to compute the stable point in image space. We present a fast computation method based on dichotomic search. After aligning the stable points, we introduce two bone landmarks for rotation estimation in a center-aware manner. Additionally, a deltille grid position-sensing (DGPS) marker is used to improve instrument tracking robustness. Experiments were conducted to evaluate the performance of our methods, demonstrating an average accuracy of <span><math><mrow><mn>0</mn><mo>.</mo><mn>16</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>03</mn><mspace></mspace><mi>mm</mi></mrow></math></span> for instrument tracking and <span><math><mrow><mn>1</mn><mo>.</mo><mn>41</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>16</mn><mspace></mspace><mi>mm</mi></mrow></math></span> for registration. Moreover, the entire process takes less than 1 minute. Results suggest that our method has significant potential for clinical application.</div></div>","PeriodicalId":55362,"journal":{"name":"Biomedical Signal Processing and Control","volume":"102 ","pages":"Article 107216"},"PeriodicalIF":4.9000,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Signal Processing and Control","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1746809424012746","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces an efficient contact-based registration method for minimally invasive anterior hip arthroplasty. Unlike existing methods that involve radiation exposure, implanted screws, or tedious point collection, our method requires only one contact within the acetabulum and two contacts on the landmarks. Inspired by the probe’s ball tip, we define a unique position, named stable point, to decouple translation from the overall transformation. The stable point in patient space is easily acquired by our tool, simplifying translation estimation to compute the stable point in image space. We present a fast computation method based on dichotomic search. After aligning the stable points, we introduce two bone landmarks for rotation estimation in a center-aware manner. Additionally, a deltille grid position-sensing (DGPS) marker is used to improve instrument tracking robustness. Experiments were conducted to evaluate the performance of our methods, demonstrating an average accuracy of for instrument tracking and for registration. Moreover, the entire process takes less than 1 minute. Results suggest that our method has significant potential for clinical application.
期刊介绍:
Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management.
Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.