Paper
29 May 2024 Quantitative imaging of iodine-based contrast agent in dual-energy DBT
Author Affiliations +
Proceedings Volume 13174, 17th International Workshop on Breast Imaging (IWBI 2024); 1317402 (2024) https://doi.org/10.1117/12.3026587
Event: 17th International Workshop on Breast Imaging (IWBI 2024), 2024, Chicago, IL, United States
Abstract
We report on an optimization-based image reconstruction algorithm for contrast enhanced digital breast tomosynthesis (DBT) using dual-energy scanning. The algorithm is designed to enable quantitative imaging of Iodine-based contrast agent by mitigating the depth blur artifact. The depth blurring is controlled by exploiting gradient sparsity of the contrast agent distribution. We find that minimization of directional total variation (TV) is particularly effective at exploiting gradient sparsity for the DBT scan configuration. In this initial work, the contrast agent imaging is performed by reconstructing images from DBT data acquired at source potentials of 30- and 49-kV, followed by weighted subtraction to suppress background glandular structure and isolate the contrast agent distribution. The algorithm is applied to DBT data, acquired with a Siemens Mammomat scanner, of a structured breast phantom with Iodine contrast agent inserts. Results for both in-plane and transverse-plane imaging for directional TV minimization are presented alongside images reconstructed by filtered back-projection for reference. It is seen that directional TV is able to substantially reduce depth blur for the Iodine-based contrast agent objects.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Emil Y. Sidky, Xiangyi Wu, Xiaoyu Duan, Hailiang Huang, Wei Zhao, Leo Y. Zhang, John Paul Phillips, Zheng Zhang, Buxin Chen, Dan Xia, Ingrid S. Reiser, and Xiaochuan Pan "Quantitative imaging of iodine-based contrast agent in dual-energy DBT", Proc. SPIE 13174, 17th International Workshop on Breast Imaging (IWBI 2024), 1317402 (29 May 2024); https://doi.org/10.1117/12.3026587
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KEYWORDS
Digital breast tomosynthesis

Contrast agents

Reconstruction algorithms

Tumors

Image processing

Iodine

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