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Proceedings Paper

Validated novel software to measure the conspicuity index of lesions in DICOM images
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Paper Abstract

A novel software programme and associated Excel spreadsheet has been developed to provide an objective measure of the expected visual detectability of focal abnormalities within DICOM images. ROIs are drawn around the abnormality, the software then fits the lesion using a least squares method to recognize the edges of the lesion based on the full width half maximum. 180 line profiles are then plotted around the lesion, giving 360 edge profiles.

Paper Details

Date Published: 24 March 2016
PDF: 15 pages
Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 978703 (24 March 2016); doi: 10.1117/12.2216211
Show Author Affiliations
K. R. Szczepura, Univ. of Salford (United Kingdom)
D. J. Manning, Univ. of Salford (United Kingdom)


Published in SPIE Proceedings Vol. 9787:
Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey; Matthew A. Kupinski, Editor(s)

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