title: Median-prior tomography reconstruction combined with nonlinear anisotropic diffusion filtering.
abstract: Positron emission tomography (PET) is becoming increasingly important in the fields of medicine and biology. Penalized iterative algorithms based on maximum a posteriori (MAP) estimation for image reconstruction in emission tomography place conditions on which types of images are accepted as solutions. The recently introduced median root prior (MRP) favors locally monotonic images. MRP can preserve sharp edges, but a steplike streaking effect and much noise are still observed in the reconstructed image, both of which are undesirable. An MRP tomography reconstruction combined with nonlinear anisotropic diffusion interfiltering is proposed for removing noise and preserving edges. Analysis shows that the proposed algorithm is capable of producing better reconstructed images compared with those reconstructed by conventional maximum-likelihood expectation maximization (MLEM), MAP, and MRP-based algorithms in PET image reconstruction.
authors.affiliation: Department of Electronic Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China. jianhua.yan@gmail.com
authors.forename: Jianhua
authors.initials: J
authors.lastname: Yan
authors.forename: Jun
authors.initials: J
authors.lastname: Yu
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D004058:Diffusion; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D017711:Nonlinear Dynamics; D049268:Positron-Emission Tomography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014055:Tomography, Emission-Computed / Q000379:methods*