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
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