Title :
Model-based image processing and analysis for fracture classification
Author :
Adami, A. ; Yang, K. ; Song, X. ; Pavel, M. ; Dirschl, D.
Author_Institution :
Oregon Health & Sci. Univ., Portland, OR, USA
Abstract :
We describe an approach toward improved classification of fractures in the vicinity of ankle joints using image-specific image enhancement and 3D modeling. The enhancement approach is based on the development of a set of linear features from X-ray images. The 3D models of fractures are used to determine the X-ray image representation from a fractured surface. These models are then used in reverse to find surface parameters that are most consistent with the 2D fracture representations.
Keywords :
biomechanics; diagnostic radiography; image classification; image enhancement; image segmentation; medical image processing; orthopaedics; physiological models; 2D fracture representations; 3D models; X-ray image representation; ankle joints; fracture classification; fractured surface; image-specific image enhancement; linear features set; model-based image processing; surface parameters; Bones; Image analysis; Image enhancement; Image processing; Image reconstruction; Image segmentation; Shape; Surface cracks; Surface treatment; X-ray imaging;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1053408