DocumentCode :
3218383
Title :
Image-guided multiscale statistical model to mimic random bone structure
Author :
Fang, Z. ; Sun, W. ; Regli, B.
Author_Institution :
Dept. of Mech. Eng. & Mech., Drexel Univ., Philadelphia, PA, USA
fYear :
2005
fDate :
2-3 April 2005
Firstpage :
176
Lastpage :
177
Abstract :
A multiscale voxel modeling approach was presented to model the bone structure both in macroscopic and microscopic level. Based on the digital image, the overall macroscopic geometry of the vertebrate was acquired by traditional reverse engineering technology and the microscopic random trabecular network was described by two-point correlation function and the function was then used to reconstruct the bone microstructure. It was shown that the reconstructed model is statistically equivalent to the original structure in the microscopic level and has the overall feature as original bone.
Keywords :
biomedical imaging; bone; correlation methods; medical computing; statistical analysis; bone microstructure; digital image; image-guided multiscale statistical model; macroscopic geometry; microscopic random trabecular network; mimic random bone structure; multiscale voxel modeling approach; reverse engineering technology; two-point correlation function; vertebrate; Bones; Digital images; Geometry; Image reconstruction; Microscopy; Microstructure; Reverse engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference, 2005. Proceedings of the IEEE 31st Annual Northeast
Print_ISBN :
0-7803-9105-5
Electronic_ISBN :
0-7803-9106-3
Type :
conf
DOI :
10.1109/NEBC.2005.1431980
Filename :
1431980
Link To Document :
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