By Topic

Evolutionary CT image reconstruction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Z. Nakao ; Fac. of Eng., Ryukyus Univ., Okinawa, Japan ; M. Takashibu ; Yen-Wei Chen

An evolutionary algorithm for reconstructing CT gray images from projections is presented; the algorithm reconstructs two-dimensional unknown images from four one-dimensional projections. A Laplacian constraint term is included in the fitness function of the genetic algorithm for handling smooth images, and the evolutionary process reconstructs images into finer ones by partitioning the images gradually thereby increasing the chromosome size exponentially as the generation proceeds. Results obtained are compared to those obtained by the well-known algebraic reconstruction technique (ART), and it was found that the evolutionary method is more effective than ART when the number of projection directions is very limited

Published in:

Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on  (Volume:2 )

Date of Conference:

27-23 May 1997