Title :
A Differential Evolution Approach to PET Image De-noising
Author :
Gupta, V. ; Chi Chiu Chan ; Pui Tze Sian
Author_Institution :
Nanyang Technol. Univ., Nanyang
Abstract :
Positron emission tomography (PET) plays an increasingly potential role in modern clinical diagnosis. But, often, the quality of PET images is compromised due to the photon noise which reduces the signal to noise ratio (SNR) of these images. The degradation of images by noise may influence the diagnosis of critical diseases in clinical environments. The de-noising of PET images, by means of differential evolution based wavelet thresholding, is proposed here. This method keeps the resolution loss minimum and removes the photon noise from the images. The percentage of improvement in SNR was found to be more than 16% as opposed to 8% and 1.4% improvement obtained by means of median and Wiener filtering respectively.
Keywords :
Wiener filters; image denoising; median filters; medical image processing; patient diagnosis; positron emission tomography; PET image denoising; Wiener filtering; clinical diagnosis; differential evolution approach; image degradation; median filtering; photon noise; positron emission tomography; Clinical diagnosis; Degradation; Diseases; Image denoising; Image resolution; Noise reduction; Positron emission tomography; Signal resolution; Signal to noise ratio; Working environment noise; Humans; Positron-Emission Tomography; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353256
