Share Email Print

Proceedings Paper

Temperature distribution imaging using ultrasonic CT by maximum-likelihood expectation-maximization algorithm
Author(s): Bingqing Li; Zijian Zhao; Faliang Chang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Ultrasonic CT is a new technique to measure temperature distribution in air. Based on the principle of ultrasonic CT technique, and the Maximum-Likelihood Expectation-Maximization (ML-EM) iteration algorithm, a novel method of temperature distribution imaging is proposed. In this method, Gaussian distribution model is applied instead of the traditional Poisson distribution model to the ML-EM iteration algorithm. And with Gaussian distribution, a new kind of ML-EM iteration algorithm is proposed. Using this method, the ultrasonic speed matrix can be calculated from projection data on a number of fixed propagation paths. And the 3D temperature distribution is obtained from the speed information. The simulation results prove the correctness and the validity of the proposed method.

Paper Details

Date Published: 3 December 2015
PDF: 6 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97943D (3 December 2015); doi: 10.1117/12.2203439
Show Author Affiliations
Bingqing Li, Shandong Univ. (China)
Zijian Zhao, Shandong Univ. (China)
Faliang Chang, Shandong Univ. (China)

Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top