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

K. R. Szczepura; D. J. Manning

doi:10.1117/12.2216211

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24 March 2016 Validated novel software to measure the conspicuity index of lesions in DICOM images

K. R. Szczepura, D. J. Manning

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Proceedings Volume 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment; 978703 (2016) https://doi.org/10.1117/12.2216211
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

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.

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K. R. Szczepura and D. J. Manning "Validated novel software to measure the conspicuity index of lesions in DICOM images", Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 978703 (24 March 2016); https://doi.org/10.1117/12.2216211

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