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A realistic breast phantom proposal for 3D image reconstruction in digital breast tomosynthesis

A realistic breast phantom proposal for 3D image reconstruction in digital breast tomosynthesis
A realistic breast phantom proposal for 3D image reconstruction in digital breast tomosynthesis
Objectives: iterative (e.g., simultaneous algebraic reconstruction technique (SART)) and analytical (e.g., 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 11-23 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 number of iterations and projections in DBT.
DBT, FBP, SART, breast cancer, breast imaging, breast phantom, digital breast tomosynthesis
1533-0338
Polat, Adem
a5c61ff9-d04a-40e6-8d6f-661c10cf8386
Kumrular, Raziye Kubra
fe5d02e3-e6eb-46e7-b450-9b3d4033290c
Polat, Adem
a5c61ff9-d04a-40e6-8d6f-661c10cf8386
Kumrular, Raziye Kubra
fe5d02e3-e6eb-46e7-b450-9b3d4033290c

Polat, Adem and Kumrular, Raziye Kubra (2022) A realistic breast phantom proposal for 3D image reconstruction in digital breast tomosynthesis. Technology in Cancer Research & Treatment, 21. (doi:10.1177/15330338221104567).

Record type: Article

Abstract

Objectives: iterative (e.g., simultaneous algebraic reconstruction technique (SART)) and analytical (e.g., 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 11-23 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 number of iterations and projections in DBT.

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Submitted date: 1 February 2022
Accepted/In Press date: 16 May 2022
Published date: 7 September 2022
Additional Information: Funding Information: The 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 Türkiye Bilimsel ve Teknolojik Araştirma Kurumu (grant number 119E388). Publisher Copyright: © The Author(s) 2022.
Keywords: DBT, FBP, SART, breast cancer, breast imaging, breast phantom, digital breast tomosynthesis

Identifiers

Local EPrints ID: 472833
URI: http://eprints.soton.ac.uk/id/eprint/472833
ISSN: 1533-0338
PURE UUID: 2d9fd62d-9a14-4451-ba24-d4275b8746c2

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Date deposited: 20 Dec 2022 17:30
Last modified: 16 Mar 2024 23:18

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Contributors

Author: Adem Polat
Author: Raziye Kubra Kumrular

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