[Simple self-correlative algebraic reconstruction technique].
A new improvement was brought forward in algebraic reconstruction technique (ART), named simple self-correlative algebraic reconstruction technique (SSCART), and its reconstructive result was discussed in detail. With numerical simulation technique, both ART and SSCART were numerically simulated with computer, and discussed in terms of simulated result and reconstructive accuracy with error indexes such as mean-square error (MSE), absolute value error (AVE) and peak error (PE). As a result, the accuracy of SSCART was markedly improved. Its MSE was decreased sixty-five percent compared to that of ART (the difference between MSE of ART and that of SSCART divided by the MSE of ART) at the level of 10(-4) magnitude, and PE decreased ninety-nine point nine percent at the level of 10 magnitude. The iterating program of SSCART was not a new program to ART, but only a simple factor was added to. SSCART was considered a superior reconstruction technique with many good virtues such as simple iterating program, persistent convergent iterating process, and high reconstructive accuracy. It is the most superior iterating reconstruction technique in current ARTs to our knowledge.
Song
Yi-zhong
YZ
Department of Information Physics and Engineering, Science Institute, Nanjing University of Science and Technology, Nanjing 210094, China.
Hu
Guo-ying
GY
He
An-zhi
AZ