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Keywords = MURA mask

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13 pages, 3679 KB  
Article
An Innovative Concept of a 3D-Coded Aperture Imaging System Proposed for Early Breast Cancer Detection
by Khalid Hussain, Mohammed A. Alnafea, M Iqbal Saripan, Djelloul Mahboub, Rozi Mahmud, Wan Azizun Wan Adnan and Dong Xianling
Diagnostics 2022, 12(10), 2529; https://doi.org/10.3390/diagnostics12102529 - 18 Oct 2022
Cited by 4 | Viewed by 2797
Abstract
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, [...] Read more.
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. Full article
(This article belongs to the Special Issue Advances in Breast Cancer Imaging and Treatment)
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12 pages, 963 KB  
Article
Experimental and Geant4 Simulation Study of MURA Mask for Scintimammography
by Mohammed A. Alnafea, Khaled Shamma and Omrane Kadri
Appl. Sci. 2022, 12(10), 4890; https://doi.org/10.3390/app12104890 - 12 May 2022
Viewed by 2605
Abstract
Gamma rays have been extensively investigated for breast imaging using collimators; however, the coded-aperture technique needs to be investigated more. In this paper, we propose an experimental study and Geant4 simulations of MURA mask breast imaging. First, we compare the experimental data against [...] Read more.
Gamma rays have been extensively investigated for breast imaging using collimators; however, the coded-aperture technique needs to be investigated more. In this paper, we propose an experimental study and Geant4 simulations of MURA mask breast imaging. First, we compare the experimental data against the simulation results carried out using Geant4 (version 10.4) and accreditation phantom. Second, we virtually extend our work by changing the tumor-to-background (TBR) and lesion location parameters. We used 99mTc as a radioactive source. Good agreement has been seen for the benchmark stage, especially in terms of tumor localization. Moreover, the calculated full width at half maximum (FWHM) and contrast for decoded images (having average values of 8 and 3.5 for TBR between 2 and 10) permitted us to conclude that we can accurately localize small lesions up to lower TBR values by following the decoding procedure of deducing the image of a “blank phantom” (phantom with TBR = 1) every time within a matlab-based program. Hence, this work can be considered a continuously added value to previous investigations for scintimammography imaging. Full article
(This article belongs to the Special Issue Advances in Diagnostic and Therapeutic Radiology)
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