Title :
Frequency characteristic study of filtered-backprojection reconstruction and maximum likelihood reconstruction for PET images
Author :
Wang, Cliff X. ; Snyder, Wesley E.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
The filtered-backprojection algorithm and statistical model based iterative algorithms such as maximum likelihood reconstruction are the two major classes of tomographic reconstruction methods. Here, the authors studied the frequency characteristics of the filtered-backprojection method and the maximum likelihood method under noise free and noisy conditions. The experiment showed that the maximum likelihood algorithm may not generate superior image quality in terms of frequency characteristics
Keywords :
image reconstruction; iterative methods; medical image processing; positron emission tomography; PET images; diagnostic nuclear medicine; filtered-backprojection reconstruction; frequency characteristic study; frequency characteristics; maximum likelihood algorithm; maximum likelihood reconstruction; medical diagnostic imaging; noise-free conditions; noisy conditions; statistical model based iterative algorithms; superior image quality; Cutoff frequency; Equations; Frequency estimation; Image reconstruction; Iterative algorithms; Iterative methods; Noise figure; Positron emission tomography; Reconstruction algorithms; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575258