Abstract

The wrist is the most common location for long-bone fractures in humans. To evaluate the healing process of such fractures, it is of interest to measure the fracture displacement, particularly the angle between the joint line and the long axis of the fractured long bone. We propose to measure this angle in 3D computed tomography (CT) images of fractured wrists. As a first step towards this goal, we here present a fast and precise semi-automatic method for determining the long axis of the radius bone in CT images. To facilitate user interaction in 3D, we utilize stereo graphics, head tracking, 3D input, and haptic feedback.

Published in

Lecture Notes in Computer Science
2012, Volume: 7594, pages: 204-211
Title: Computer Vision and Graphicsh: International Conference, ICCVG 2012, Warsaw, Poland, September 24-26, 2012. Proceedings
ISBN: 978-3-642-33563-1, eISBN: 978-3-642-33564-8
Publisher: Springer Berlin Heidelberg

Conference

International Conference on Computer Vision and Graphics (ICCVG), SEP 24-26, 2012, Warsaw, POLAND

SLU Authors

• Sintorn, Ida-Maria

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

• Nyström, Ingela

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Radiology, Nuclear Medicine and Medical Imaging


Publication identifier

DOI: https://doi.org/10.1007/978-3-642-33564-8_25

Permanent link to this page (URI)

https://res.slu.se/id/publ/41145