Paper
28 March 2013 A study of the feasibility of using slabbing to reduce tomosynthesis review time
Magnus Dustler, Martin Andersson, Daniel Förnvik, Pontus Timberg, Anders Tingberg
Author Affiliations +
Abstract
This study aimed to investigate whether decreasing the amount of slices in breast tomosynthesis (BT) image volumes reduce reading time. BT slices were combined into so-called slabs, by reconstructing thin slices and merging them into thicker slabs. Sets of slabs where created from 35 clinical BT volumes with malignant or benignant findings and from 50 BT volumes drawn from screening sets (without any prior review). The image sets were reviewed in two separate sessions while the review time was recorded. A total of five experienced radiologists were employed for the image review. Additionally a VGA study was performed to compare slabbed images with the originals in order to ensure that the image quality was not significantly degraded. One set of 27 pathological cases (13 masses and 14 microcalcification clusters) and one of 22 subtle lesions that had been missed on digital mammography but detected on BT were presented to an experienced radiologist and 2 medical physicists who rated the quality of the slabbed versions relative to the originals. The study could find no significant degradation in image quality when using 2 mm slabs instead of 1 mm slices. There was no significant decrease in reading time on clinical cases (P = .133), but on screening images there was a significant decrease of 7.7 ± 9.6 s from an average level of 32.2 ± 14.5 s (P < .0001). This suggests that increasing slab thickness can reduce the time radiologists spend studying normal images by 20%.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Magnus Dustler, Martin Andersson, Daniel Förnvik, Pontus Timberg, and Anders Tingberg "A study of the feasibility of using slabbing to reduce tomosynthesis review time", Proc. SPIE 8673, Medical Imaging 2013: Image Perception, Observer Performance, and Technology Assessment, 86731L (28 March 2013); https://doi.org/10.1117/12.2006987
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Cited by 5 scholarly publications.
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KEYWORDS
Image quality

Image quality standards

Mammography

Breast

Digital mammography

Medical imaging

Reconstruction algorithms

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