Title :
Fast transmission CT reconstruction for SPECT using a block-iterative algorithm
Author :
Lalush, David S. ; Tsui, Benjamin M W
Author_Institution :
Dept. of Biomed. Eng., North Carolina Univ., Chapel Hill, NC, USA
fDate :
6/1/2000 12:00:00 AM
Abstract :
Presents an iterative transmission reconstruction algorithm based on principles used for block-iterative emission reconstruction. Filtered backprojection (FBP) is adequate for transmission CT image reconstruction under ideal conditions. In cases where insufficient count rates are obtained, FBP suffers from significant biases. The authors´ block-iterative transmission algorithm is developed by analogy to ordered-subset emission CT algorithms. They show similarities between their algorithm and a previously-proposed Ordered-Subset Convex (OSC) algorithm. Under ideal conditions, the authors´ block-iterative transmission algorithm generates estimates of attenuation line integrals that are not significantly different from those from FBP or OSC. In the case of very low count-rate data, their block-iterative algorithm produces line integral estimates that are less biased than those from FBP and nearly identical to those from OSC. The authors show that their algorithm is more computationally efficient than OSC. They conclude that their block-iterative method is a viable alternative to FBP and other iterative algorithms, especially under poor imaging conditions
Keywords :
image reconstruction; iterative methods; medical image processing; single photon emission computed tomography; SPECT; attenuation line integrals estimates; block-iterative algorithm; block-iterative emission reconstruction; fast transmission CT reconstruction; filtered backprojection; insufficient count rates; medical diagnostic imaging; nuclear medicine; ordered-subset convex algorithm; ordered-subset emission CT algorithms; Acceleration; Attenuation; Biomedical engineering; Biomedical measurements; Cancer; Computed tomography; Image reconstruction; Iterative algorithms; Radiology; Reconstruction algorithms;
Journal_Title :
Nuclear Science, IEEE Transactions on