Acquisition Geometry vs Radiation Dose in Digital Breast Tomosynthesis : Design Considerations for Optimizing the Reconstruction Quality Through Denoising
Costa, Arthur C. LU ; Brandão, Renann F. ; Borges, Lucas R. ; Barufaldi, Bruno ; Maidment, Andrew D.A. ; Bakic, Predrag R. LU ; Tingberg, Anders LU
; Foi, Alessandro
and Vieira, Marcelo A.C.
(2025)
29th Brazilian Congress of Biomedical Engineering, CBEB 2024
In IFMBE Proceedings
127 IFMBE.
p.905-914
- Abstract
In the last decade, breast cancer diagnosis has seen the widespread application of digital breast tomosynthesis (DBT) in screening programs. DBT involves the X-ray tube traversing along an arc trajectory parallel to the patient’s chest wall, acquiring multiple low-dose mammograms from various angles. Reconstruction algorithms process these projection views to generate a stack of slices forming a pseudo-3D volume of the breast. While DBT offers intricate structural visualization, variations in acquisition geometry impact lesion visualization and vertical resolution of the reconstructed slices. Studies have explored optimal parameter combinations, demonstrating their impact on lesion detection. Radiation dose is a critical factor... (More)
In the last decade, breast cancer diagnosis has seen the widespread application of digital breast tomosynthesis (DBT) in screening programs. DBT involves the X-ray tube traversing along an arc trajectory parallel to the patient’s chest wall, acquiring multiple low-dose mammograms from various angles. Reconstruction algorithms process these projection views to generate a stack of slices forming a pseudo-3D volume of the breast. While DBT offers intricate structural visualization, variations in acquisition geometry impact lesion visualization and vertical resolution of the reconstructed slices. Studies have explored optimal parameter combinations, demonstrating their impact on lesion detection. Radiation dose is a critical factor influencing image quality, with a trade-off between projection number and exposure per projection. Virtual clinical trial (VCT) tools facilitate testing different acquisition geometries without clinical trials constraints. In this study we investigate the impact of angular range and projection number on DBT reconstructed images for two different scenarios, maintaining total radiation dose and keeping the dose per projection constant. We evaluate the quality of images and identify optimal acquisition protocols for lesion visualization assessing the contrast-to-noise ratio. Results reveal that by maintaining the total radiation dose, our denoising pipeline approaches image quality comparable to higher-dose acquisitions, demonstrating the potential for optimized DBT protocols.
(Less)
- author
- Costa, Arthur C.
LU
; Brandão, Renann F.
; Borges, Lucas R.
; Barufaldi, Bruno
; Maidment, Andrew D.A.
; Bakic, Predrag R.
LU
; Tingberg, Anders
LU
; Foi, Alessandro
and Vieira, Marcelo A.C.
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- acquisition geometry, breast lesion visualization, Digital breast tomosynthesis, image denoising, radiation dose
- host publication
- 29th Brazilian Congress on Biomedical Engineering - Biomedical Informatics, and Biomedical Signal and Image Processing - Proceedings of CBEB 2024
- series title
- IFMBE Proceedings
- editor
- Soares, Alcimar Barbosa ; Leoni, Renata Ferranti and Cardoso, George Cunha
- volume
- 127 IFMBE
- pages
- 10 pages
- publisher
- Springer Science and Business Media B.V.
- conference name
- 29th Brazilian Congress of Biomedical Engineering, CBEB 2024
- conference location
- Ribeirão Preto-SP, Brazil
- conference dates
- 2024-09-02 - 2024-09-06
- external identifiers
-
- scopus:105020021046
- ISSN
- 1433-9277
- 1680-0737
- ISBN
- 9783031949333
- DOI
- 10.1007/978-3-031-94934-0_93
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © Brazilian Society of Biomedical Eng. 2025.
- id
- c94c9101-9a6d-4373-a8da-d3adf4c7c69a
- date added to LUP
- 2026-01-15 12:43:40
- date last changed
- 2026-01-16 03:21:23
@inproceedings{c94c9101-9a6d-4373-a8da-d3adf4c7c69a,
abstract = {{<p>In the last decade, breast cancer diagnosis has seen the widespread application of digital breast tomosynthesis (DBT) in screening programs. DBT involves the X-ray tube traversing along an arc trajectory parallel to the patient’s chest wall, acquiring multiple low-dose mammograms from various angles. Reconstruction algorithms process these projection views to generate a stack of slices forming a pseudo-3D volume of the breast. While DBT offers intricate structural visualization, variations in acquisition geometry impact lesion visualization and vertical resolution of the reconstructed slices. Studies have explored optimal parameter combinations, demonstrating their impact on lesion detection. Radiation dose is a critical factor influencing image quality, with a trade-off between projection number and exposure per projection. Virtual clinical trial (VCT) tools facilitate testing different acquisition geometries without clinical trials constraints. In this study we investigate the impact of angular range and projection number on DBT reconstructed images for two different scenarios, maintaining total radiation dose and keeping the dose per projection constant. We evaluate the quality of images and identify optimal acquisition protocols for lesion visualization assessing the contrast-to-noise ratio. Results reveal that by maintaining the total radiation dose, our denoising pipeline approaches image quality comparable to higher-dose acquisitions, demonstrating the potential for optimized DBT protocols.</p>}},
author = {{Costa, Arthur C. and Brandão, Renann F. and Borges, Lucas R. and Barufaldi, Bruno and Maidment, Andrew D.A. and Bakic, Predrag R. and Tingberg, Anders and Foi, Alessandro and Vieira, Marcelo A.C.}},
booktitle = {{29th Brazilian Congress on Biomedical Engineering - Biomedical Informatics, and Biomedical Signal and Image Processing - Proceedings of CBEB 2024}},
editor = {{Soares, Alcimar Barbosa and Leoni, Renata Ferranti and Cardoso, George Cunha}},
isbn = {{9783031949333}},
issn = {{1433-9277}},
keywords = {{acquisition geometry; breast lesion visualization; Digital breast tomosynthesis; image denoising; radiation dose}},
language = {{eng}},
pages = {{905--914}},
publisher = {{Springer Science and Business Media B.V.}},
series = {{IFMBE Proceedings}},
title = {{Acquisition Geometry vs Radiation Dose in Digital Breast Tomosynthesis : Design Considerations for Optimizing the Reconstruction Quality Through Denoising}},
url = {{http://dx.doi.org/10.1007/978-3-031-94934-0_93}},
doi = {{10.1007/978-3-031-94934-0_93}},
volume = {{127 IFMBE}},
year = {{2025}},
}