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Proceedings Paper

Automated selection of computed tomography display parameters using neural networks
Author(s): Di Zhang; Scott Neu; Daniel J. Valentino
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Paper Abstract

A collection of artificial neural networks (ANN's) was trained to identify simple anatomical structures in a set of x-ray computed tomography (CT) images. These neural networks learned to associate a point in an image with the anatomical structure containing the point by using the image pixels located on the horizontal and vertical lines that ran through the point. The neural networks were integrated into a computer software tool whose function is to select an index into a list of CT window/level values from the location of the user's mouse cursor. Based upon the anatomical structure selected by the user, the software tool automatically adjusts the image display to optimally view the structure.

Paper Details

Date Published: 3 July 2001
PDF: 6 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431084
Show Author Affiliations
Di Zhang, Univ. of California/Los Angeles (United States)
Scott Neu, Univ. of California/Los Angeles (United States)
Daniel J. Valentino, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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