Zhenyan Ji; Hao Wei

The Registration of Knee Joint Images with Preprocessing

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Author(s)

Zhenyan Ji ^1,* Hao Wei ¹

1. School of Software Engineering, Beijing Jiaotong University, Beijing, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2011.04.02

Received: 17 Feb. 2011 / Revised: 14 Apr. 2011 / Accepted: 14 May 2011 / Published: 8 Jun. 2011

Index Terms

Image registration, preprocessing, knee join, CT, MR

Abstract

The registration of CT and MR images is important to analyze the effect of PCL and ACL deficiency on knee joint. Because CT and MR images have different limitations, we need register CT and MR images of knee joint and then build a model to do an analysis of the stress distribution on knee joint. In our project, we adopt image registration based on mutual information. In the knee joint images, the information about adipose, muscle and other soft tissue affects the registration accuracy. To eliminate the interference, we propose a combined preprocessing solution BEBDO, which consists of five steps, image blurring, image enhancement, image blurring, image edge detection and image outline preprocessing. We also designed the algorithm of image outline preprocessing. At the end of the paper, an experiment is done to compare the image registration results without the preprocessing and with the preprocessing. The results prove that the preprocessing can improve the image registration accuracy.

Cite This Paper

Zhenyan Ji,Hao Wei,"The Registration of Knee Joint Images with Preprocessing",IJIGSP, vol.3, no.4, pp.10-17, 2011. DOI: 10.5815/ijigsp.2011.04.02

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International Journal of Image, Graphics and Signal Processing (IJIGSP)