A new breast phantom suitable for digital mammography, contrast-enhanced digital mammography and digital breast tomosynthesis.


Journal

Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220

Informations de publication

Date de publication:
14 02 2023
Historique:
received: 11 05 2022
accepted: 25 01 2023
pubmed: 26 1 2023
medline: 17 2 2023
entrez: 25 1 2023
Statut: epublish

Résumé

Our objective is to report a new breast phantom that provides the objective assessment for three types of clinical mammography, i.e. digital mammography (DM), contrast-enhanced digital mammography (CEDM), and digital breast tomosynthesis (DBT). The tissue-equivalent materials are used to represent the corresponding tissue, and the layer-by-layer structure with separate regions is designed for image quality assessment of different mammography modes. For DM imaging, substitutes for microcalcifications and fibroglandular tissue of different sizes are used to simulate the conventional breast. For CEDM imaging, the tumor module that can be injected with imaging contrast agents is adopted to distinguish normal tissue and diseased tissue in the dense breast. For DBT imaging, the overlapping breast mass module with multiple layers is designed to perform the layer-by-layer imaging of overlapping tissue. In addition, the quantitative assessment module of image quality is designed based on contrast-to-noise ratio, modulation transfer function and artifact spread function. This phantom allows image quality to be evaluated objectively for three different types of the clinical mammography, while it provides an effective tool for optimizing the dose-image quality relationship of patients.

Identifiants

pubmed: 36696693
doi: 10.1088/1361-6560/acb636
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 Institute of Physics and Engineering in Medicine.

Auteurs

Changsheng Zhang (C)

School of Mechanical Engineering and Automation, Beihang University, Beijing, 100190, People's Republic of China.

Jian Fu (J)

School of Mechanical Engineering and Automation, Beihang University, Beijing, 100190, People's Republic of China.
Jiangxi Research Institute, Beihang University, Nanchang, 330000, People's Republic of China.
Ningbo Institute of Technology, Beihang University, Ningbo, 315000, People's Republic of China.

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