Paper
29 May 2024 Local dynamic reconstruction in digital breast tomosynthesis
Matteo Barbieri, Clément Jailin, Laurence Vancamberg, Stéphane Roux
Author Affiliations +
Proceedings Volume 13174, 17th International Workshop on Breast Imaging (IWBI 2024); 1317409 (2024) https://doi.org/10.1117/12.3025988
Event: 17th International Workshop on Breast Imaging (IWBI 2024), 2024, Chicago, IL, United States
Abstract
Digital Breast Tomosynthesis (DBT) is a pseudo 3D x-ray imaging technique that limits the tissue superimposition problem observed in 2D mammography. DBT is therefore on track to become a standard of care for breast cancer screening. However, patient motion during examination is relatively common and may compromise the consistency of the reconstruction problem and decrease the conspicuity of clinical features in the resulting 3D volumes. Dynamic reconstruction of motion-polluted cases is therefore essential for patient care. The reconstruction problem is enriched to include estimation and correction of patient motion in 3D. The resolution of the dynamic problem is a two-stage process alternating between a motion-corrected reconstruction based on the SIRT algorithm and a motion estimation based on the Projection-based Digital Volume Correlation (P-DVC) method. It is coupled with a multiscale coarse-to-fine procedure which allows to capture both large and fine displacements. Additionally, the dynamic reconstruction is focused on a local region to simplify the kinematic description of patient motions and limit computation time. The method was applied to 63 local regions throughout 19 DBTs showcasing motion artefacts. It enabled to significantly reduce the objective function, correct motion artefacts and visualize smaller details previously blurred. Dynamic tomosynthesis improves the reconstruction problem consistency and image quality by enhancing the visibility of small critical clinical features. Local reconstruction around areas of interest is a feature which helps radiologists to focus on specific details while limiting the computation time.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Matteo Barbieri, Clément Jailin, Laurence Vancamberg, and Stéphane Roux "Local dynamic reconstruction in digital breast tomosynthesis", Proc. SPIE 13174, 17th International Workshop on Breast Imaging (IWBI 2024), 1317409 (29 May 2024); https://doi.org/10.1117/12.3025988
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KEYWORDS
Image restoration

Digital breast tomosynthesis

Kinematics

Visualization

Tomosynthesis

Motion estimation

Medical image reconstruction

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