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Update Course in Diagnostic Radiology Physics: Advances in Digital Tomosynthesis


08:30 AM – 10:00 AM


James Talmage Dobbins, PhD,  Martin J. Yaffe, PhD,  James G. Mainprize, and Tao Wu

Code: RC225


This session has three sections. The first is Matrix Inversion , which discusses various imaging geometries used with tomosynthesis. Attendees will learn mathematical principles behind matrix inversion tomosynthesis. They will also learn low-frequency noise challenges with matrix inversion tomosynthesis and methods to overcome these challenges. This section highlights the optimization of image acquisition parameters with matrix inversion tomosynthesis, in addition to the results of matrix inversion tomosynthesis in clinical applications. The second section, Filtered Backprojection for Tomosynthesis, discusses principles of filtered back projection for cone-beam imaging. Attendees will learn how these approaches can be used for limited-angle, limited-view CT (tomosynthesis). This section discusses the motivation for optimized filters to reduce aliasing and noise. Attendees are going to become familiar with the advantages and disadvantages of filtered back projection compared to other reconstruction strategies. The third section is Iterative Reconstruction for Digital Breast Tomosynthesis, which highlights the principles of iterative algorithm for digital breast tomosynthesis (DBT) reconstruction. Attendees will learn the role of iterative reconstruction algorithm in DBT development and applications. This section highlights the advantages and disadvantages of the iterative reconstruction algorithm.


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