A Realistic Breast Phantom Proposal for 3D Image Reconstruction in Digital Breast Tomosynthesis

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dc.authoridPolat, Adem/0000-0002-5662-4141
dc.authoridKUMRULAR, RAZIYE KUBRA/0000-0002-0976-3683
dc.contributor.authorPolat, Adem
dc.contributor.authorKumrular, Raziye Kubra
dc.date.accessioned2025-01-27T20:50:27Z
dc.date.available2025-01-27T20:50:27Z
dc.date.issued2022
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractObjectives: Iterative (eg, simultaneous algebraic reconstruction technique [SART]) and analytical (eg, filtered back projection [FBP]) image reconstruction techniques have been suggested to provide adequate three-dimensional (3D) images of the breast for capturing microcalcifications in digital breast tomosynthesis (DBT). To decide on the reconstruction method in clinical DBT, it must first be tested in a simulation resembling the real clinical environment. The purpose of this study is to introduce a 3D realistic breast phantom for determining the reconstruction method in clinical applications. Methods: We designed a 3D realistic breast phantom with varying dimensions (64(3)-512(3)) mimicking some structures of a real breast such as milk ducts, lobules, and ribs using TomoPhantom software. We generated microcalcifications, which mimic cancerous cells, with a separate MATLAB code and embedded them into the phantom for testing and benchmark studies in DBT. To validate the characterization of the phantom, we tested the distinguishability of microcalcifications by performing 3D image reconstruction methods (SART and FBP) using Laboratory of Computer Vision (LAVI) open-source reconstruction toolbox. Results: The creation times of the proposed realistic breast phantom were seconds of 2.5916, 8.4626, 57.6858, and 472.1734 for 64(3), 128(3), 256(3), and 512(3), respectively. We presented reconstructed images and quantitative results of the phantom for SART (1-2-4-8 iterations) and FBP, with 11 to 23 projections. We determined qualitatively and quantitatively that SART (2-4 iter.) yields better results than FBP. For example, for 23 projections, the contrast-to-noise ratio (CNR) values of SART (2 iter.) and FBP were 2.871 and 0.497, respectively. Conclusions: We created a computationally efficient realistic breast phantom that is eligible for reconstruction and includes anatomical structures and microcalcifications, successfully. By proposing this breast phantom, we provided the opportunity to test which reconstruction methods can be used in clinical applications vary according to various parameters such as the No. of iterations and projections in DBT.
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu [119E388]
dc.description.sponsorshipThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (grant number 119E388).
dc.identifier.doi10.1177/15330338221104567
dc.identifier.issn1533-0346
dc.identifier.issn1533-0338
dc.identifier.pmid36071652
dc.identifier.scopus2-s2.0-85137528522
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1177/15330338221104567
dc.identifier.urihttps://hdl.handle.net/20.500.12428/25499
dc.identifier.volume21
dc.identifier.wosWOS:000855314900001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSage Publications Inc
dc.relation.ispartofTechnology in Cancer Research & Treatment
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectDBT
dc.subjectdigital breast tomosynthesis
dc.subjectSART
dc.subjectFBP
dc.subjectbreast phantom
dc.subjectbreast cancer
dc.subjectbreast imaging
dc.titleA Realistic Breast Phantom Proposal for 3D Image Reconstruction in Digital Breast Tomosynthesis
dc.typeArticle

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