Automated selection of computed tomography display parameters using neural networks

Di Zhang; Scott Neu; Daniel J. Valentino

doi:10.1117/12.431084

3 July 2001 Automated selection of computed tomography display parameters using neural networks

Di Zhang, Scott Neu, Daniel J. Valentino

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431084
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

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.

Citation Download Citation

Di Zhang, Scott Neu, and Daniel J. Valentino "Automated selection of computed tomography display parameters using neural networks", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431084

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