title: Gamma regularization based reconstruction for low dose CT.
abstract: Reducing the radiation in computerized tomography is today a major concern in radiology. Low dose computerized tomography (LDCT) offers a sound way to deal with this problem. However, more severe noise in the reconstructed CT images is observed under low dose scan protocols (e.g. lowered tube current or voltage values). In this paper we propose a Gamma regularization based algorithm for LDCT image reconstruction. This solution is flexible and provides a good balance between the regularizations based on l0-norm and l1-norm. We evaluate the proposed approach using the projection data from simulated phantoms and scanned Catphan phantoms. Qualitative and quantitative results show that the Gamma regularization based reconstruction can perform better in both edge-preserving and noise suppression when compared with other norms.
authors: Laboratory of Image Science and Technology, Southeast University, Nanjing, People's Republic of China.
authors: Junfeng
authors: J
authors: Zhang
authors: Yang
authors: Y
authors: Chen
authors: Yining
authors: Y
authors: Hu
authors: Limin
authors: L
authors: Luo
authors: Huazhong
authors: H
authors: Shu
authors: Bicao
authors: B
authors: Li
authors: Jin
authors: J
authors: Liu
authors: Jean-Louis
authors: JL
authors: Coatrieux
mesh_terms: D000465:Algorithms; D004307:Dose-Response Relationship, Radiation; D005720:Gamma Rays; D006801:Humans; D019047:Phantoms, Imaging; D011835:Radiation Protection / Q000592:standards*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods* / Q000592:standards; D014057:Tomography, X-Ray Computed / Q000379:methods*