Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images

Single-photon emission computed tomography (SPECT) images can significantly help physicians in diagnosing patients with coronary artery or suspected coronary artery diseases. However, these images are grayscale with qualities that are not readily visible. The objective of this study was to evaluate...

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Main Authors: Abdurrahim Rahimian, Mahnaz Etehadtavakol, Masoud Moslehi, Eddie Y. K. Ng
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/8/12/331
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author Abdurrahim Rahimian
Mahnaz Etehadtavakol
Masoud Moslehi
Eddie Y. K. Ng
author_facet Abdurrahim Rahimian
Mahnaz Etehadtavakol
Masoud Moslehi
Eddie Y. K. Ng
author_sort Abdurrahim Rahimian
collection DOAJ
description Single-photon emission computed tomography (SPECT) images can significantly help physicians in diagnosing patients with coronary artery or suspected coronary artery diseases. However, these images are grayscale with qualities that are not readily visible. The objective of this study was to evaluate the effectiveness of different pseudo-coloring algorithms of myocardial perfusion SPECT images. Data were collected using a Siemens Symbia T2 dual-head SPECT/computed tomography (CT) scanner. After pseudo-coloring, the images were assessed both qualitatively and quantitatively. The qualities of different pseudo-color images were examined by three experts, while the images were evaluated quantitatively by obtaining indices such as mean squared error (MSE), peak signal-to-noise ratio (PSNR), normalized color difference (NCD), and structure similarity index metric (SSIM). The qualitative evaluation demonstrated that the warm color map (WCM), followed by the jet color map, outperformed the remaining algorithms in terms of revealing the non-visible qualities of the images. Furthermore, the quantitative evaluation results demonstrated that the WCM had the highest PSNR and SSIM but the lowest MSE. Overall, the WCM could outperform the other color maps both qualitatively and quantitatively. The novelty of this study includes comparing different pseudo-coloring methods to improve the quality of myocardial perfusion SPECT images and utilizing our collected datasets.
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spelling doaj.art-20bc6fac08df4875bb4ba94035ccd5832023-11-24T15:52:19ZengMDPI AGJournal of Imaging2313-433X2022-12-0181233110.3390/jimaging8120331Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography ImagesAbdurrahim Rahimian0Mahnaz Etehadtavakol1Masoud Moslehi2Eddie Y. K. Ng3Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan 81745-33871, IranDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan 81745-33871, IranDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan 81745-33871, IranSchool of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, SingaporeSingle-photon emission computed tomography (SPECT) images can significantly help physicians in diagnosing patients with coronary artery or suspected coronary artery diseases. However, these images are grayscale with qualities that are not readily visible. The objective of this study was to evaluate the effectiveness of different pseudo-coloring algorithms of myocardial perfusion SPECT images. Data were collected using a Siemens Symbia T2 dual-head SPECT/computed tomography (CT) scanner. After pseudo-coloring, the images were assessed both qualitatively and quantitatively. The qualities of different pseudo-color images were examined by three experts, while the images were evaluated quantitatively by obtaining indices such as mean squared error (MSE), peak signal-to-noise ratio (PSNR), normalized color difference (NCD), and structure similarity index metric (SSIM). The qualitative evaluation demonstrated that the warm color map (WCM), followed by the jet color map, outperformed the remaining algorithms in terms of revealing the non-visible qualities of the images. Furthermore, the quantitative evaluation results demonstrated that the WCM had the highest PSNR and SSIM but the lowest MSE. Overall, the WCM could outperform the other color maps both qualitatively and quantitatively. The novelty of this study includes comparing different pseudo-coloring methods to improve the quality of myocardial perfusion SPECT images and utilizing our collected datasets.https://www.mdpi.com/2313-433X/8/12/331pseudo-coloringquality assessmentquantitative indicatorsSPECT image
spellingShingle Abdurrahim Rahimian
Mahnaz Etehadtavakol
Masoud Moslehi
Eddie Y. K. Ng
Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images
Journal of Imaging
pseudo-coloring
quality assessment
quantitative indicators
SPECT image
title Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images
title_full Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images
title_fullStr Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images
title_full_unstemmed Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images
title_short Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images
title_sort comparing different algorithms for the pseudo coloring of myocardial perfusion single photon emission computed tomography images
topic pseudo-coloring
quality assessment
quantitative indicators
SPECT image
url https://www.mdpi.com/2313-433X/8/12/331
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AT masoudmoslehi comparingdifferentalgorithmsforthepseudocoloringofmyocardialperfusionsinglephotonemissioncomputedtomographyimages
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