6 July 2018 Development of an automated detection algorithm for patient motion blur in digital mammograms
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Proceedings Volume 10718, 14th International Workshop on Breast Imaging (IWBI 2018); 107180K (2018) https://doi.org/10.1117/12.2318225
Event: The Fourteenth International Workshop on Breast Imaging, 2018, Atlanta, Georgia, United States
Abstract
The purpose is to develop and validate an automated method for detecting image unsharpness caused by patient motion blur in digital mammograms. The goal is that such a tool would facilitate immediate re-taking of blurred images, which has the potential to reduce the number of recalled examinations, and to ensure that sharp, high-quality mammograms are presented for reading. To meet this goal, an automated method was developed based on interpretation of the normalized image Wiener Spectrum. A preliminary algorithm was developed using 25 cases acquired using a single vendor system, read by two expert readers identifying the presence of blur, location, and severity. A predictive blur severity score was established using multivariate modeling, which had an adjusted coefficient of determination, R2 =0.63±0.02, for linear regression against the average reader-scored blur severity. A heatmap of the relative blur magnitude showed good correspondence with reader sketches of blur location, with a Spearman rank correlation of 0.70 between the algorithmestimated area fraction with blur and the maximum of the blur area fraction categories of the two readers. Given these promising results, the algorithm-estimated blur severity score and heatmap are proposed to be used to aid observer interpretation. The use of this automated blur analysis approach, ideally with feedback during an exam, could lead to a reduction in repeat appointments for technical reasons, saving time, cost, potential anxiety, and improving image quality for accurate diagnosis.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Melissa L. Hill, Melissa L. Hill, Patsy Whelehan, Patsy Whelehan, Sarah J. Vinnicombe, Sarah J. Vinnicombe, Christopher E. Tromans, Christopher E. Tromans, Andrew Evans, Andrew Evans, Violet R. Warwick, Violet R. Warwick, J. Michael Brady, J. Michael Brady, Ralph P. Highnam, Ralph P. Highnam, } "Development of an automated detection algorithm for patient motion blur in digital mammograms", Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018), 107180K (6 July 2018); doi: 10.1117/12.2318225; https://doi.org/10.1117/12.2318225
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