Share Email Print

Proceedings Paper

Statistical Approach to X-ray CT and Its Applications in Image Analysis
Author(s): Tianhu Lei; Wilfred Sewchand
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The physical and mathematical problems of X-ray computed tomography (CT) imaging have been extensively studied during the past two decades. This paper presents a statistical description of X-ray CT imaging. The asymptotic Gaussianity of the pixel image generated by convolution algorithm is proved. The conditions for the two pixel images to be statistically independent and the conditions for a group of pixel images to be a spatial stationary random process and ergodic in mean and autocorrelation are derived. These properties provide the basis for the statistical image analysis of X-ray CT image, which is briefly described in the last section of this paper.

Paper Details

Date Published: 1 May 1989
PDF: 15 pages
Proc. SPIE 1090, Medical Imaging III: Image Formation, (1 May 1989); doi: 10.1117/12.953233
Show Author Affiliations
Tianhu Lei, University of Maryland (United States)
Wilfred Sewchand, University of Maryland (United States)

Published in SPIE Proceedings Vol. 1090:
Medical Imaging III: Image Formation
Samuel J. Dwyer III; R. Gilbert Jost M.D.; Roger H. Schneider, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?