CLC number:
On-line Access: 2020-02-04
Received: 2019-12-02
Revision Accepted: 2020-01-24
Crosschecked: 2020-03-01
Cited: 0
Clicked: 2347
Pengju Wang, Su Wang. Computer‑aided CT image processing and modeling method for tibia microstructure[J]. Journal of Zhejiang University Science D, 2020, 3(1): 71-82.
@article{title="Computer‑aided CT image processing and modeling method for tibia
microstructure",
author="Pengju Wang, Su Wang",
journal="Journal of Zhejiang University Science D",
volume="3",
number="1",
pages="71-82",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1007/s42242-020-00063-x"
}
%0 Journal Article
%T Computer‑aided CT image processing and modeling method for tibia
microstructure
%A Pengju Wang
%A Su Wang
%J Journal of Zhejiang University SCIENCE D
%V 3
%N 1
%P 71-82
%@ 1869-1951
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1007/s42242-020-00063-x
TY - JOUR
T1 - Computer‑aided CT image processing and modeling method for tibia
microstructure
A1 - Pengju Wang
A1 - Su Wang
J0 - Journal of Zhejiang University Science D
VL - 3
IS - 1
SP - 71
EP - 82
%@ 1869-1951
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1007/s42242-020-00063-x
Abstract: We present a method for computed tomography (CT) image processing and modeling for tibia microstructure, achieved
by using computer graphics and fractal theory. Given the large-scale image data of tibia species with DICOM standard for
clinical applications, we take advantage of algorithms such as image binarization, hot pixel removing and close operation to
obtain visually clear image for tibia microstructure. All of these images are based on 20 CT scanning images with 30 μm slice
thickness and 30 μm interval and continuous changes in pores. For each pore, we determine its profle by using an improved
algorithm for edge detection. Then, to calculate its three-dimensional fractal dimension, we measure the circumference
perimeter and area of the pores of bone microstructure using a line ftting method based on the least squares. Subsequently,
we put forward an algorithm for the pore profles through ellipse ftting. The results show that the pores have signifcant
fractal characteristics because of the good linear correlation between the perimeter and the area parameters in log–log scale
coordinates system, and the ratio of the elliptical short axis to the long axis through ellipse ftting tends to 0.6501. Based on
support vector machine and structural risk minimization principle, we put forward a mapping database theory of structure
parameters among the pores of CT images and fractal dimension, Poisson’s ratios, porosity and equivalent aperture. On
this basis, we put forward a new concept for 3D modeling called precision-measuring digital expressing to reconstruct tibia
microstructure for human hard tissue.
Open peer comments: Debate/Discuss/Question/Opinion
<1>