[A non-local means approach for PET image denoising].
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.
Yin
Yong
Y
College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China. yinyongsd@yahoo.com.cn
Sun
Weifeng
W
Lu
Jie
J
Liu
Tonghai
T
D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D049268:Positron-Emission Tomography / Q000379:methods*