Reconstruction Algorithm Design for Mitigating the Orientation Dependent Conspicuity of Fiber-Like signals in Digital Breast Tomosynthesis
Sean D. Rose, Ingrid Reiser, Emil Y. Sidky, Xiaochuan Pan

TL;DR
This paper investigates how fiber-like structures in digital breast tomosynthesis exhibit orientation-dependent visibility and proposes reconstruction algorithm modifications to reduce this effect while balancing depth resolution.
Contribution
The study introduces a reconstruction algorithm design that mitigates orientation-dependent conspicuity of fiber-like signals in DBT, revealing a tradeoff with depth resolution.
Findings
Orientation-dependent signal conspicuity exists in DBT.
Algorithm design can reduce orientation dependence.
Tradeoff between minimizing dependence and preserving depth resolution.
Abstract
There are a number of clinically relevant tasks in digital breast tomosynthesis (DBT) involving the detection and visual assessment of fiber-like structures such as Cooper's ligaments, blood vessels, and spiculated lesions. Such structures can exhibit orientation dependent variations in conspicuity. This study demonstrates the presence of in-plane orientation-dependent signal conspicuity for fiber-like signals in DBT and shows how reconstruction algorithm design can mitigate this phenomenon. We uncover a tradeoff between minimizing orientation-dependence and preserving depth resolution that is dictated by the regularization strength employed in reconstruction.
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Taxonomy
TopicsDigital Radiography and Breast Imaging · Medical Imaging Techniques and Applications · AI in cancer detection
