DocumentCode :
472042
Title :
Platelet-based MPLE Denoising of SPECT Images: Phantom and Patient study
Author :
Riyahi-Alam, N. ; Alibabaei, N. ; Takavar, A. ; Sohrabi, M. ; Fard-Esfahani, A. ; Oghabian, M.A. ; Bakhtiary, M.
Author_Institution :
Dept. of Med. Phys. & Biomed. Eng., Tehran Univ. of Med. Sci.
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
4787
Lastpage :
4790
Abstract :
In this study the evaluation of a platelet-based maximum penalized likelihood estimation (MPLE) for denoising SPECT images was performed and compared with other denoising methods such as wavelets or Butterworth filteration. Platelet-based MPLE factorization as a multiscale decomposition approach has been already proposed for better edges and surfaces representation due to Poisson noise and inherent smoothness of this kind of images. We applied this approach on both simulated and real SPECT images. For NEMA phantom images, the measured noise levels before (Mb) and after (Ma) denoising with Platelet-based MPLE approach were Mb= Ma=0.1399. In patient study for 32 cardiac SPECT images, the difference between noise level and SNR before and after the approach were (Mb= SNRb9.7762, Ma=0.7374, SNR a=4 1.0848) respectively. Thus the coefficient variance (C.V) of SNR values for denoised images with this algorithm as compared with Butterworth filter, (145/33%) was found. For 32 brain SPECT images the coefficient variance of SNR values, (196/17%) was obtained. Our results shows that platelet-based MPLE is a useful method for denoising SPECT images considering better homogenous image, improvements in SNR, better radioactive uptake in target organ and reduction of interfering activity from background radiation to compare to that of other conventional denoising methods
Keywords :
Butterworth filters; biological organs; cardiology; covariance analysis; image denoising; maximum likelihood estimation; medical image processing; phantoms; single photon emission computed tomography; Butterworth filteration; NEMA phantom images; Poisson noise; biological organ; cardiac SPECT image denoising; coefficient variance; multiscale decomposition approach; platelet-based maximum penalized likelihood estimation; radioactive uptake; wavelets; Biomedical imaging; Imaging phantoms; Maximum likelihood estimation; Noise level; Noise measurement; Noise reduction; Optical imaging; Performance evaluation; Signal to noise ratio; Single photon emission computed tomography; Denoising; Image Approximation; MPLE; Platelets; SPECT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260278
Filename :
4462872
Link To Document :
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