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An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection

Coded Aperture (CA) imaging has recently been used in nuclear medicine, but still, there is no commercial SPECT imaging camera based on CA for cancer detection. The literature is rich in examples of using the CA for planar and thin 3D imaging. However, thick 3D reconstruction is still challenging fo...

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Autores principales: Hussain, Khalid, Alnafea, Mohammed A., Saripan, M Iqbal, Mahboub, Djelloul, Mahmud, Rozi, Wan Adnan, Wan Azizun, Xianling, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601382/
https://www.ncbi.nlm.nih.gov/pubmed/36292217
http://dx.doi.org/10.3390/diagnostics12102529
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author Hussain, Khalid
Alnafea, Mohammed A.
Saripan, M Iqbal
Mahboub, Djelloul
Mahmud, Rozi
Wan Adnan, Wan Azizun
Xianling, Dong
author_facet Hussain, Khalid
Alnafea, Mohammed A.
Saripan, M Iqbal
Mahboub, Djelloul
Mahmud, Rozi
Wan Adnan, Wan Azizun
Xianling, Dong
author_sort Hussain, Khalid
collection PubMed
description Coded Aperture (CA) imaging has recently been used in nuclear medicine, but still, there is no commercial SPECT imaging camera based on CA for cancer detection. The literature is rich in examples of using the CA for planar and thin 3D imaging. However, thick 3D reconstruction is still challenging for small lesion detection. This paper presents the results of mosaic modified uniformly redundant array (MURA) mask/antimask CA combined with a maximum-likelihood expectation-maximization (MLEM) algorithm. The MLEM is an iterative algorithm applied to a mosaic MURA CA mask/antimask for 3D anthropomorphic breast phantom reconstruction, slice by slice. The difference between the mask and the antimask suppresses the background noise to enhance the quality of reconstructed images. Furthermore, all reconstructed slices are stacked to form a 3D breast phantom image from single-projection data. The results of phantom reconstruction with 8 mm, 6 mm, 4 mm, and 3 mm lesions are presented. Moreover, the proposed SPECT imaging camera can reconstruct a 3D breast phantom from single-projection data of the patient’s scanning. To assess the quality of lesions in the reconstructed images, the contrast-to-background ratio (CBR), the peak signal-to-noise ratio (PSNR) and mean square error (MSE) were measured.
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spelling pubmed-96013822022-10-27 An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection Hussain, Khalid Alnafea, Mohammed A. Saripan, M Iqbal Mahboub, Djelloul Mahmud, Rozi Wan Adnan, Wan Azizun Xianling, Dong Diagnostics (Basel) Article Coded Aperture (CA) imaging has recently been used in nuclear medicine, but still, there is no commercial SPECT imaging camera based on CA for cancer detection. The literature is rich in examples of using the CA for planar and thin 3D imaging. However, thick 3D reconstruction is still challenging for small lesion detection. This paper presents the results of mosaic modified uniformly redundant array (MURA) mask/antimask CA combined with a maximum-likelihood expectation-maximization (MLEM) algorithm. The MLEM is an iterative algorithm applied to a mosaic MURA CA mask/antimask for 3D anthropomorphic breast phantom reconstruction, slice by slice. The difference between the mask and the antimask suppresses the background noise to enhance the quality of reconstructed images. Furthermore, all reconstructed slices are stacked to form a 3D breast phantom image from single-projection data. The results of phantom reconstruction with 8 mm, 6 mm, 4 mm, and 3 mm lesions are presented. Moreover, the proposed SPECT imaging camera can reconstruct a 3D breast phantom from single-projection data of the patient’s scanning. To assess the quality of lesions in the reconstructed images, the contrast-to-background ratio (CBR), the peak signal-to-noise ratio (PSNR) and mean square error (MSE) were measured. MDPI 2022-10-18 /pmc/articles/PMC9601382/ /pubmed/36292217 http://dx.doi.org/10.3390/diagnostics12102529 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hussain, Khalid
Alnafea, Mohammed A.
Saripan, M Iqbal
Mahboub, Djelloul
Mahmud, Rozi
Wan Adnan, Wan Azizun
Xianling, Dong
An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection
title An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection
title_full An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection
title_fullStr An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection
title_full_unstemmed An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection
title_short An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection
title_sort innovative concept of a 3d-coded aperture imaging system proposed for early breast cancer detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601382/
https://www.ncbi.nlm.nih.gov/pubmed/36292217
http://dx.doi.org/10.3390/diagnostics12102529
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