Cardiac SPECT Image Quality Comparison: Customized vs. Siemens Using Phantom

PurposeThe purpose of this study is to evaluate the effect of customized acquisition parameters on image quality in cardiac perfusion imaging using the SPECT/CT Symbia Intevo Excel system. Specifically, it aims to assess how changes in matrix size, number of views, and acquisition time impact the Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) in cardiac images.Materials and Methods This study used the SPECT/CT Symbia Intevo Excel imaging system with a 128x128 matrix, acquiring 32 views with 30 seconds per view. To enhance image quality, the Butterworth filter was applied. The SNR and CNR values were calculated to quantitatively assess image quality with a series of test images obtained under these customized acquisition settings.Results The customized acquisition parameters resulted in a significant improvement in both SNR and CNR compared to standard settings. These optimized parameters led to clearer and more detailed images, enhancing the visibility of cardiac structures and abnormalities. Statistical analysis validated these improvements, showing a significant enhancement in image quality.Conclusion This study demonstrates that customizing acquisition parameters in the Symbia Intevo Excel SPECT/CT system can significantly improve image quality in cardiac perfusion imaging. The findings highlight the importance of optimizing acquisition protocols to improve diagnostic outcomes and patient care. Further research is suggested to explore additional factors impacting image quality and to help establish standardized protocols in cardiac imaging.

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Publication Details

Journal
Aswan University Journal of Sciences and Technology/Aswan University Journal of Sciences and Technology
Published
2024-11-27
DOI
https://doi.org/10.21608/aujst.2024.327603.1131
Primary Topic
Medical Imaging Techniques and Applications
Type
article
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article

Cardiac SPECT Image Quality Comparison: Customized vs. Siemens Using Phantom

Eman Amreen ebraheem, Kassem O Behairy, Jamal Yahia
Aswan University Journal of Sciences and Technology/Aswan University Journal of Sciences and Technology
Medical Imaging Techniques and Applications
article

Cardiac SPECT Image Quality Comparison: Customized vs. Siemens Using Phantom

Eman Amreen ebraheem, Kassem O Behairy, Jamal Yahia
article en

Abstract

PurposeThe purpose of this study is to evaluate the effect of customized acquisition parameters on image quality in cardiac perfusion imaging using the SPECT/CT Symbia Intevo Excel system. Specifically, it aims to assess how changes in matrix size, number of views, and acquisition time impact the Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) in cardiac images.Materials and Methods This study used the SPECT/CT Symbia Intevo Excel imaging system with a 128x128 matrix, acquiring 32 views with 30 seconds per view. To enhance image quality, the Butterworth filter was applied. The SNR and CNR values were calculated to quantitatively assess image quality with a series of test images obtained under these customized acquisition settings.Results The customized acquisition parameters resulted in a significant improvement in both SNR and CNR compared to standard settings. These optimized parameters led to clearer and more detailed images, enhancing the visibility of cardiac structures and abnormalities. Statistical analysis validated these improvements, showing a significant enhancement in image quality.Conclusion This study demonstrates that customizing acquisition parameters in the Symbia Intevo Excel SPECT/CT system can significantly improve image quality in cardiac perfusion imaging. The findings highlight the importance of optimizing acquisition protocols to improve diagnostic outcomes and patient care. Further research is suggested to explore additional factors impacting image quality and to help establish standardized protocols in cardiac imaging.

Aswan University Journal of Sciences and Technology/Aswan University Journal of Sciences and Technology Vol. 4(4)
Aswan University (EG)
Openalex Percentile: Top 62%
Medical Imaging Techniques and Applications
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