DocumentCode :
3203401
Title :
Fast identification & modelling of osteoarthritic holes in the human knee with contour interpolated radial basis functions
Author :
Javaid, Zarrar ; Unsworth, Charles P. ; Boocock, Mark ; McNair, Peter
Author_Institution :
Dept. of Eng. Sci., Univ. of Auckland, Auckland, New Zealand
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
4438
Lastpage :
4441
Abstract :
In this article, we propose a new method for the fast 3D reconstruction of simulated osteoarthritic holes in a human patella. Initially, clean patella slices were extracted from MRI scans of the knee using Region-Based Segmentation (region-growing) and Bounding Box techniques. Osteoarthritic (OA) holes were then simulated in the patella slices. Our contour interpolation/RBF (CI/RBF) method was then used to detect the hole automatically and reconstruct 3D models of both the patella and OA hole separately. The method presented here proves fast, reliable and efficient for reconstructing a 3D model of the patella from MRI images with an extremely low error of 0.33%.
Keywords :
biomedical MRI; bone; diseases; image reconstruction; image segmentation; interpolation; medical image processing; physiological models; MRI scan; bounding box technique; contour interpolation; human knee; human patella 3D model; human patella slice extraction; magnetic resonance imaging; osteoarthritic hole 3D reconstruction; osteoarthritic hole identification; osteoarthritic hole modelling; osteoarthritic hole simulation; radial basis function; region-based segmentation; region-growing technique; Filling; Image reconstruction; Interpolation; Magnetic resonance imaging; Solid modeling; Surface reconstruction; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610531
Filename :
6610531
Link To Document :
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