A Fast Method for Finding Range of Motion in the Human Joints

Author

Arbabi, E. ; Boulic, R. ; Thalmann, D.

Author_Institution

Virtual Reality Lab., Lausanne

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

5079

Lastpage

5082

Abstract

Finding the range of motion for the human joints is a popular method for diagnosing joint diseases. By current technology, it is more trustable and easier to find the range of motion by employing computer based models of the human tissues. In this paper we propose a novel method for finding range of motion for human joints without using any collision detection algorithm. This method is based on mesh classifying in a cylindrically segmented space. The method shows to be much faster than the traditional ones and provides the accurate results. This method is illustrated on the case of finding the range of motion in the human hip joint.

Keywords

biomechanics; biomedical MRI; diseases; image classification; image motion analysis; image segmentation; medical image processing; mesh generation; orthopaedics; physiological models; MR images; computer-based models; cylindrically segmented space; hip joint range-of-motion; human joint disease diagnosis; human tissues; mesh classification; Biological tissues; Cadaver; Computational modeling; Detection algorithms; Diseases; Hip; Humans; Motion detection; Surgery; Surges; Algorithms; Computer Simulation; Hip Joint; Humans; Image Interpretation, Computer-Assisted; Models, Biological; Range of Motion, Articular; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353482

Filename

4353482