The impact of simulated motion blur on lesion detection performance in full field digital mammography

Abdullah, AK, Thompson, JD ORCID: https://orcid.org/0000-0002-4786-7379, Kelly, J, Mercer, CE ORCID: https://orcid.org/0000-0002-7848-3036, Aspin, R ORCID: https://orcid.org/0000-0002-2202-1326 and Hogg, P ORCID: https://orcid.org/0000-0002-6506-0827 2017, 'The impact of simulated motion blur on lesion detection performance in full field digital mammography' , British Journal of Radiology, 90 (1075) .

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Abstract

Objective: Motion blur is a known phenomenon in full-field digital mammography, but the impact on lesion detection is unknown. This is the first study to investigate detection performance with varying magnitudes of simulated motion blur.
Method: Seven observers (15±5 years’ reporting experience) evaluated 248 cases (62 containing malignant masses, 62 containing malignant microcalcifications and 124 normal cases) for three conditions: no blurring (0 mm) and two magnitudes of simulated blurring (0.7 mm and 1.5 mm). Abnormal cases were biopsy proven. Mathematical simulation was used to provide a pixel shift in order to simulate motion blur. A free-response observer study was conducted to compare lesion detection performance for the three conditions. The equally weighted jackknife alternative free-response receiver operating characteristic (wJAFROC) was used as the figure of merit. Test alpha was set at 0.05 to control probability of Type I error.
Results: wJAFROC analysis found a statistically significant difference in lesion detection performance for both masses (F(2,22) = 6.01, P=0.0084) and microcalcifications (F(2,49) = 23.14, P<0.0001). The figures of merit reduced as the magnitude of simulated blurring increased. Statistical differences were found between some of the pairs investigated for the detection of masses (0.0mm v 0.7mm, and 0.0mm v 1.5mm) and all pairs for microcalcifications (0.0 mm v 0.7 mm, 0.0 mm v 1.5 mm, and 0.7 mm v 1.5 mm). No difference was detected between 0.7 mm and 1.5 mm for masses.
Conclusion: Mathematical simulation of motion blur caused a statistically significant reduction in lesion detection performance. These false negative decisions could have implications for clinical practice.
Advances in knowledge: This research demonstrates for the first time that motion blur has a negative and statistically significant impact on lesion detection performance digital mammography.

Item Type:	Article
Schools:	Schools > School of Health Sciences
Journal or Publication Title:	British Journal of Radiology
Publisher:	British Institute of Radiology
ISSN:	0007-1285
Related URLs:	Publisher Publication
Depositing User:	P Hogg
Date Deposited:	09 May 2017 13:33
Last Modified:	15 Feb 2022 21:57
URI:	https://usir.salford.ac.uk/id/eprint/42301

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