An adaptive scaling hybrid algorithm for reduction of CT artifacts caused by metal objects.
- Author:
Yu CHEN
1
;
Hai LUO
;
He-qin ZHOU
Author Information
1. Department of Automation, University of Science and Technology of China, Hefei. yuchen@mail.ustc.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Metals;
Tomography, X-Ray Computed;
methods
- From:
Chinese Journal of Medical Instrumentation
2009;33(2):87-90
- CountryChina
- Language:Chinese
-
Abstract:
A new adaptively hybrid filtering algorithm is proposed to reduce the artifacts caused by metal in CT image. Firstly, the method is used to preprocess the projection data of metal region and is reconstruct by filtered back projection (FBP) method. Then the expectation maximization algorithm (EM) is performed on the iterative original metal project data. Finally, a compensating procedure is applied to the reconstructed metal region. The simulation result has demonstrated that the proposed algorithm can remove the metal artifacts and keep the structure information of metal object effectively. It ensures that the tissues around the metal will not be distorted. The method is also computational efficient and effective for the CT images which contains several metal objects.
