Abstract
A task-based method for evaluating tomosynthesis reconstruction image quality is developed. An ideal observer model using a signal known exactly/background known exactly (SKE/BKE) is demonstrated for a breast tomosynthesis system. Image quality is evaluated by calculating the detectability (d′) of a spherical lesion. The detectability is calculated in the central slice of the reconstruction. The effect of various filter choices is demonstrated on lesion detectability at various dose levels. This model is extended to backgrounds which simulate anatomic variability in a “background known statistically” model.
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Wang, X., Mainprize, J.G., Wu, G., Yaffe, M.J. (2010). Task-Based Evaluation of Image Quality of Filtered Back Projection for Breast Tomosynthesis . In: Martí, J., Oliver, A., Freixenet, J., Martí, R. (eds) Digital Mammography. IWDM 2010. Lecture Notes in Computer Science, vol 6136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13666-5_15
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DOI: https://doi.org/10.1007/978-3-642-13666-5_15
Publisher Name: Springer, Berlin, Heidelberg
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