Automated assessment of hallux valgus in radiographic images
Authors:
- Tomasz Gąciarz,
- Wadim Wojciechowski,
- Zbisław Tabor
Abstract
The purpose of the study was to develop an automated method for measurement of the selected angular variables, characterizing foot skeleton based on dorsoplantar projection radiographs. The study was a retrospective analysis of radiographic data. Totally, 50 dorsoplantar projection radiographs of a weight-wearing foot were analyzed (24 left and 26 right feet) of 32 patients (23 female, 9 male). Various quantities were measured to assess the severity of hallux valgus. The measurements were performed manually and with an automated method designed in the study. The automated and manual measurements were correlated. Repeated manual measurements were additionally performed to determine the variability of manual assessment of the hallux valgus. High correlation between manual and automated measurements have been observed. The accuracy of the framework is comparable with the accuracy of manual measurements.
- Record ID
- CUT03a1a01e19484e319a665836b7b67620
- Publication categories
- ; ;
- Author
- Pages
- 633-638
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 637-638; Bibliografia (liczba pozycji) - 6; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Data cop. 2018
- Book
- Tavares João Manuel R. S., João Manuel R. S. Tavares Jorge Natal R. M. Natal R. M. Jorge (eds.): VipIMAGE 2017 : proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017, Lecture Notes in Computational Vision and Biomechanics, no. 27, 2017, Cham, Springer, Springer, ISBN 978-3-319-68195-5 (eBook)
- Keywords in English
- mediacal image processing, radiographic image processing, hallux valgus, radiologz, image analzsis, CAD
- DOI
- DOI:10.1007/978-3-319-68195-5_68 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-319-68195-5_68 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT03a1a01e19484e319a665836b7b67620/
- URN
urn:pkr-prod:CUT03a1a01e19484e319a665836b7b67620
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.