Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom

Background: Absolute quantification of radiotracer distribution using SPECT/CT imaging is crucial for dosimetry and personalized radionuclide therapy. However, the accuracy of quantification depends on various factors. Using phantom measurements, this multi-vendor and multi-center study evaluated t...

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Main Author: Chi, Leah Tan Shin
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2024
Subjects:
Online Access:http://eprints.usm.my/61358/1/Leah%20Tan%20Shin%20Chi-E.pdf
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author Chi, Leah Tan Shin
author_facet Chi, Leah Tan Shin
author_sort Chi, Leah Tan Shin
collection USM
description Background: Absolute quantification of radiotracer distribution using SPECT/CT imaging is crucial for dosimetry and personalized radionuclide therapy. However, the accuracy of quantification depends on various factors. Using phantom measurements, this multi-vendor and multi-center study evaluated the quantitative accuracy and inter-system variability of different SPECT/CT systems, as well as the impact of patient size, processing software and reconstruction algorithms on recovery coefficients (RC). Method: The study utilized phantom measurements to assess the quantitative performance of the GE Discovery NM/CT 670 Pro SPECT/CT system. Tc-99m activity was prepared to achieve target-to-background ratios (TBR) of 4:1 and 10:1. The NEMA 2012/IEC 2008 phantom was used, and images were acquired, reconstructed, and analysed using the Xeleris workstation and Q. Metrix software. Metrics such as contrast, signal-to-noise ratio (SNR), and RC were evaluated under different Butterworth filter parameters. Results: The results showed that the choice of Butterworth filter parameters, specifically the cutoff frequency (COF) and power, had a significant impact on image quality and quantitative accuracy. For the TBR 10:1 scenario, the optimal Butterworth filter parameters were a COF of 0.8 cycle/mm and a power of 15, which produced the highest contrast and SNR. For the TBR 4:1 scenario, the optimal parameters were a COF of 0.8 cycle/mm and a power of 10. Conclusion: This study demonstrates the importance of carefully optimizing the Butterworth filter parameters in SPECT/CT imaging to achieve the best balance between image quality and quantitative accuracy. The findings can guide the selection of appropriate reconstruction settings for improved absolute quantification, which is crucial for applications such as dosimetry and personalized radionuclide therapy.
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spelling usm.eprints-613582025-01-06T07:29:03Z http://eprints.usm.my/61358/ Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom Chi, Leah Tan Shin R Medicine R735-854 Medical education. Medical schools. Research Background: Absolute quantification of radiotracer distribution using SPECT/CT imaging is crucial for dosimetry and personalized radionuclide therapy. However, the accuracy of quantification depends on various factors. Using phantom measurements, this multi-vendor and multi-center study evaluated the quantitative accuracy and inter-system variability of different SPECT/CT systems, as well as the impact of patient size, processing software and reconstruction algorithms on recovery coefficients (RC). Method: The study utilized phantom measurements to assess the quantitative performance of the GE Discovery NM/CT 670 Pro SPECT/CT system. Tc-99m activity was prepared to achieve target-to-background ratios (TBR) of 4:1 and 10:1. The NEMA 2012/IEC 2008 phantom was used, and images were acquired, reconstructed, and analysed using the Xeleris workstation and Q. Metrix software. Metrics such as contrast, signal-to-noise ratio (SNR), and RC were evaluated under different Butterworth filter parameters. Results: The results showed that the choice of Butterworth filter parameters, specifically the cutoff frequency (COF) and power, had a significant impact on image quality and quantitative accuracy. For the TBR 10:1 scenario, the optimal Butterworth filter parameters were a COF of 0.8 cycle/mm and a power of 15, which produced the highest contrast and SNR. For the TBR 4:1 scenario, the optimal parameters were a COF of 0.8 cycle/mm and a power of 10. Conclusion: This study demonstrates the importance of carefully optimizing the Butterworth filter parameters in SPECT/CT imaging to achieve the best balance between image quality and quantitative accuracy. The findings can guide the selection of appropriate reconstruction settings for improved absolute quantification, which is crucial for applications such as dosimetry and personalized radionuclide therapy. Universiti Sains Malaysia 2024-08 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/61358/1/Leah%20Tan%20Shin%20Chi-E.pdf Chi, Leah Tan Shin (2024) Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom. Project Report. Universiti Sains Malaysia. (Submitted)
spellingShingle R Medicine
R735-854 Medical education. Medical schools. Research
Chi, Leah Tan Shin
Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
title Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
title_full Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
title_fullStr Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
title_full_unstemmed Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
title_short Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
title_sort impacts of butterworth post filtering on absolute quantification of 99mtc spect ct using nema phantom
topic R Medicine
R735-854 Medical education. Medical schools. Research
url http://eprints.usm.my/61358/1/Leah%20Tan%20Shin%20Chi-E.pdf
work_keys_str_mv AT chileahtanshin impactsofbutterworthpostfilteringonabsolutequantificationof99mtcspectctusingnemaphantom