Presentation + Paper
4 March 2019 2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model
Author Affiliations +
Abstract
We investigate whether humans need to be shown the entire image stack (3D) or only the central slice (2D) of the lesion of breast tomosynthesis images in signal-known-exactly detection experiments. A directional small-scale breast tissue model based on random power-law noise was used. Assuming a breast tomosynthesis geometry, the tissue volumes were projected and reconstructed forming volumes-of-interest (VOI)s. Three different sizes of spheres with blurred edges were used to simulate lesions. The spheres were added on the VOIs to represent signal-present VOIs. Signal-present and signalabsent VOIs were presented during 2-alternative forced-choice experiments to 5 human observers in two modes; (i) 3D mode, in which all slices of the VOI were repeatedly displayed in ciné mode; and in (ii) 2D mode, in which only the central slice of the reconstructed VOI (where the signal-present VOIs contained the center of the spherical lesion) was displayed using 2-alternative forced-choice experiments. Percent correct (PC) of the detection performance of all observers was evaluated. No significant differences were found systematically in the PC for the 3D and 2D image viewing for this type of backgrounds. We plan to investigate these further, along with the development of a model observer that correlates well with human performance in tomosynthesis.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christiana Balta, Ioannis Sechopoulos, Wouter J. H. Veldkamp, Ruben E. van Engen, and Ingrid Reiser "2D single-slice vs. 3D viewing of simulated tomosynthesis images of a small-scale breast tissue model", Proc. SPIE 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, 109520V (4 March 2019); https://doi.org/10.1117/12.2512053
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Cited by 1 scholarly publication.
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KEYWORDS
Breast

3D image processing

Signal detection

3D modeling

Tissues

Image quality

3D vision

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