title: [A non-local means approach for PET image denoising].
abstract: Denoising is an important issue for medical image processing. Based on the analysis of the Non-local means algorithm recently reported by Buades A, et al. in international journals we herein propose adapting it for PET image denoising. Experimental de-noising results for real clinical PET images show that Non-local means method is superior to median filtering and wiener filtering methods and it can suppress noise in PET images effectively and preserve important details of structure for diagnosis.
authors.affiliation: College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China. yinyongsd@yahoo.com.cn
authors.forename: Yong
authors.initials: Y
authors.lastname: Yin
authors.forename: Weifeng
authors.initials: W
authors.lastname: Sun
authors.forename: Jie
authors.initials: J
authors.lastname: Lu
authors.forename: Tonghai
authors.initials: T
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D049268:Positron-Emission Tomography / Q000379:methods*