Share Email Print

Proceedings Paper

Accuracy of transcribing locations on mammograms: implications for the user interface of a system to record and assess breast screening decisions
Author(s): James W. Hatton; David S. Wooding; Alastair G. Gale; Kevin J. Purdy
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A series of studies were carried out to determine the accuracy of transcribing feature locations in a 'reference’ mammogram to a scaled, and sometimes simplified 'copy’ of the same image. A computer monitor displayed two images of a mammogram. The reference image of the mammogram was presented at 256 colors (greyscale) and, adjacent to this, the copy image was presented with height and width scaled to 0.25, 0.50 or 0.75 of the original, and in one of four forms: blank image, outline, 16 colour palette, and 256 color palette. Participants were required to locate a target on the reference image and indicate its location on the copy image. Results demonstrated accuracy in transcription of target location increased with enhanced image detail and scale. Consequently, it is possible to determine which image characteristics are important in situations where a small representational image is used to record patient information, such as the user interface for a tablet device used to record breast screening decisions.

Paper Details

Date Published: 22 May 2003
PDF: 10 pages
Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); doi: 10.1117/12.480086
Show Author Affiliations
James W. Hatton, Univ. of Derby (United Kingdom)
David S. Wooding, Univ. of Derby (United Kingdom)
Alastair G. Gale, Univ. of Derby (United Kingdom)
Kevin J. Purdy, Univ. of Derby (United Kingdom)

Published in SPIE Proceedings Vol. 5034:
Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Elizabeth A. Krupinski, 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?