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

Szczepura, K ORCID: https://orcid.org/0000-0002-2566-3308 and Manning, D 2016, 'Validated novel software to measure the conspicuity index of lesions in DICOM images' , Proceedings of SPIE, 9787 .

Preview	PDF (Author's accepted manuscript) - Accepted Version Download (917kB) | Preview
	Microsoft Word - Accepted Version Restricted to Repository staff only Download (991kB)

Abstract

Description of purpose
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.
Methodology
ROIs are drawn around the abnormality, the software then fits the lesion using a least squares method to recognise 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. The co-ordinates show in Figure 1 are captured, as well the standard deviation of the pixel values within the background and lesion (representing anatomical noise and lesion noise respectively).

An Excel spreadsheet has been developed to allow variables to be calculated, including SNR and CNR. A conspicuity index has also been developed:
Results
The software has been validated using the GAMMEX ACR CT accreditation phantom, varying mA, kVp and slice thickness (ST) and the results have been found to give a linear response:
Conclusion
A novel software programme has been validated to allow calculation of many physical properties of lesions. Additionally, a new measure of conspicuity index has been developed for focal lesions.

The analysis could be further developed to incorporate reader decision-analysis data and eye-tracking data allowing correlations between physical and perception measures to be made beyond basic CNR calculations. It could also be used as a tool to distinguish between perceptual and cognitive error. Further refinements could lead to measures of the detectability of more diffuse disease features.

Item Type:	Article
Additional Information:	Copyright 2016 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Schools:	Schools > School of Health and Society > Centre for Health Sciences Research
Journal or Publication Title:	Proceedings of SPIE
Publisher:	SPIE
ISBN:	9781510600225
Funders:	Non funded research
Depositing User:	K Szczepura
Date Deposited:	04 May 2016 12:35
Last Modified:	15 Mar 2019 10:42
URI:	http://usir.salford.ac.uk/id/eprint/38854

Actions (login required)

Edit record (repository staff only)