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Proceedings Paper

Effect of background detail on CD curve slope in CT head images
Author(s): Kent M. Ogden; Walter Huda; Sameer Tipnis; Marsha Roskopf
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Paper Abstract

The purpose of this work was to analyze the influence of background structure on the slopes of contrast-detail (CD) curves in CT images acquired in uniform phantoms, anthropomorphic head phantoms, and in clinical head CT images. Alternative forced-choice (AFC) studies were performed using CT images acquired in uniform (water) phantoms, anthropomorphic (RANDO and ATOM) phantoms, and clinical head scans. The AFC experiments measure the lesion contrast (I92%) that corresponds to 92% detection efficiency. The AFC experimental results were plotted as a function of lesion size to produce CD curves, and the slopes of the curves determined when plotted on log-log axes. The Rose model of detection predicts a slope of -1.0 for disk lesions in uniform backgrounds and white noise. CD curve slopes showed a progression that depends on the complexity of the background structure in the CT images. For uniform water phantom images, the slope averaged -0.9, which is close to that predicted by the Rose model. For the anthropomorphic phantoms, the slope averaged -0.56, and for the patient scans the average slope was -0.20. The slope of CD curves depends strongly on the background structure of the images in which the lesions are embedded, with increased background structure leading to decreased CD curve slopes. The Rose model reasonably predicts the slopes for CD curves acquired in uniform phantoms, but is a poor predictor of slopes in clinical head images.

Paper Details

Date Published: 23 February 2010
PDF: 6 pages
Proc. SPIE 7627, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment, 76271A (23 February 2010); doi: 10.1117/12.844425
Show Author Affiliations
Kent M. Ogden, SUNY Upstate Medical Univ. (United States)
Walter Huda, Medical Univ. of South Carolina (United States)
Sameer Tipnis, Medical Univ. of South Carolina (United States)
Marsha Roskopf, SUNY Upstate Medical Univ. (United States)


Published in SPIE Proceedings Vol. 7627:
Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment
David J. Manning; Craig K. Abbey, Editor(s)

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