Emily A Lalone, Terry M Peters, Graham W King, James A Johnson
{"title":"Accuracy assessment of an imaging technique to examine ulnohumeral joint congruency during elbow flexion.","authors":"Emily A Lalone, Terry M Peters, Graham W King, James A Johnson","doi":"10.3109/10929088.2012.673638","DOIUrl":null,"url":null,"abstract":"<p><p>A CT-based imaging technique to investigate ulnohumeral joint congruency of elbows undergoing physiologic flexion is introduced. This technique, which employed landmark registration and a previously developed inter-bone distance algorithm, was validated experimentally. Results obtained with this imaging technique were validated in a single specimen by comparing the resulting joint congruency maps to results obtained with experimental casting in a static position. Additionally, the accuracy of the registration technique was assessed in four specimens using fiducial and target registration error to evaluate the positional and angular accuracy. Preliminary data from an intact cadaveric elbow was shown to demonstrate the utility of this technique. The overall accuracy of the registration was better than 1 mm, and the congruency maps showed excellent correspondence with the casting, validating the use of a CT-based imaging technique to examine the congruency of joints undergoing quasi-static flexion.</p>","PeriodicalId":50644,"journal":{"name":"Computer Aided Surgery","volume":"17 3","pages":"142-52"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3109/10929088.2012.673638","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Aided Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3109/10929088.2012.673638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 17
Abstract
A CT-based imaging technique to investigate ulnohumeral joint congruency of elbows undergoing physiologic flexion is introduced. This technique, which employed landmark registration and a previously developed inter-bone distance algorithm, was validated experimentally. Results obtained with this imaging technique were validated in a single specimen by comparing the resulting joint congruency maps to results obtained with experimental casting in a static position. Additionally, the accuracy of the registration technique was assessed in four specimens using fiducial and target registration error to evaluate the positional and angular accuracy. Preliminary data from an intact cadaveric elbow was shown to demonstrate the utility of this technique. The overall accuracy of the registration was better than 1 mm, and the congruency maps showed excellent correspondence with the casting, validating the use of a CT-based imaging technique to examine the congruency of joints undergoing quasi-static flexion.
期刊介绍:
The scope of Computer Aided Surgery encompasses all fields within surgery, as well as biomedical imaging and instrumentation, and digital technology employed as an adjunct to imaging in diagnosis, therapeutics, and surgery. Topics featured include frameless as well as conventional stereotaxic procedures, surgery guided by ultrasound, image guided focal irradiation, robotic surgery, and other therapeutic interventions that are performed with the use of digital imaging technology.