title: [An adaptive scaling hybrid algorithm for reduction of CT artifacts caused by metal objects].
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.
authors: Department of Automation, University of Science and Technology of China, Hefei. yuchen@mail.ustc.edu.cn
authors: Yu
authors: Y
authors: Chen
authors: Hai
authors: H
authors: Luo
authors: He-qin
authors: HQ
authors: Zhou
mesh_terms: D000465:Algorithms; D016477:Artifacts; D008670:Metals; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D008670:Metals