Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353482
