Quantitative analyses in Nuclear Medicine are essential, hence growing interest in algorithms that make nuclear medical data more reliable and accurate. The Partial Volume Effect (PVE) is the most important factor of loss of quantification in Nuclear Medicine, particularly for evaluation in regions of interest (ROIs) smaller than the Full Width at Half Maximum (FWHM) of the Point Spread Function (PSF) of the imaging system. This study is focused on applying a post-reconstruction correction algorithm of PVE at regional level in SPECT imaging. After a quantitative evaluation of the sigma of the PSF of the SPECT imaging system, several experimental situations have been studied using the standard IEC NEMA Body phantom, which contains six spherical inserts that mimic lesions with diameters of 10 mm, 13 mm, 17 mm, 22 mm, 28 mm, and 37 mm. They were filled with 99mTc mixed with distilled water using a sphere-to-background activity concentration ratio of 10: 1. The experimental measurements were carried out with two activity concentrations of 99mTc: 170.2 KBq/mL and 451.0 KBq/mL. The PVE correction approach has been employed in this paper to correct PVE on spherical volumes of interest (VOIs) of different sizes and to evaluate the recovery of quantitative data. Images were reconstructed using Ordered-Subset Expectation Maximization (OSEM) algorithm, applying scatter and attenuation corrections of photons, both with and without the application of the Butterworth filter. In the end, a post-reconstruction algorithm implemented with MATLAB was used. The mean difference rate between the corrected image and the raw image of the medium-sized spheres (13mm, 17mm, and 22mm) gives an improvement rate of about 70% of the PVE correction for unfiltered images at 170.2 KBq/mL. This work showed that the application of the PVE correction method recovers lost activity concentration with accuracy.
Published in | Radiation Science and Technology (Volume 9, Issue 3) |
DOI | 10.11648/j.rst.20230903.11 |
Page(s) | 26-35 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2023. Published by Science Publishing Group |
Partial Volume Effect, Recovery, Point Spread Function, Post-Reconstruction Correction Algorithm, SPECT Imaging
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APA Style
Koffi N’guessan Placide Gabin Allangba, Annick Kouame Koutouan, Alessia Giuliano, Zié Traoré, Antonio Traino. (2023). Partial Volume Effect (PVE) Correction in Single Photon Emission Computed Tomography (SPECT) Imaging. Radiation Science and Technology, 9(3), 26-35. https://doi.org/10.11648/j.rst.20230903.11
ACS Style
Koffi N’guessan Placide Gabin Allangba; Annick Kouame Koutouan; Alessia Giuliano; Zié Traoré; Antonio Traino. Partial Volume Effect (PVE) Correction in Single Photon Emission Computed Tomography (SPECT) Imaging. Radiat. Sci. Technol. 2023, 9(3), 26-35. doi: 10.11648/j.rst.20230903.11
AMA Style
Koffi N’guessan Placide Gabin Allangba, Annick Kouame Koutouan, Alessia Giuliano, Zié Traoré, Antonio Traino. Partial Volume Effect (PVE) Correction in Single Photon Emission Computed Tomography (SPECT) Imaging. Radiat Sci Technol. 2023;9(3):26-35. doi: 10.11648/j.rst.20230903.11
@article{10.11648/j.rst.20230903.11, author = {Koffi N’guessan Placide Gabin Allangba and Annick Kouame Koutouan and Alessia Giuliano and Zié Traoré and Antonio Traino}, title = {Partial Volume Effect (PVE) Correction in Single Photon Emission Computed Tomography (SPECT) Imaging}, journal = {Radiation Science and Technology}, volume = {9}, number = {3}, pages = {26-35}, doi = {10.11648/j.rst.20230903.11}, url = {https://doi.org/10.11648/j.rst.20230903.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.rst.20230903.11}, abstract = {Quantitative analyses in Nuclear Medicine are essential, hence growing interest in algorithms that make nuclear medical data more reliable and accurate. The Partial Volume Effect (PVE) is the most important factor of loss of quantification in Nuclear Medicine, particularly for evaluation in regions of interest (ROIs) smaller than the Full Width at Half Maximum (FWHM) of the Point Spread Function (PSF) of the imaging system. This study is focused on applying a post-reconstruction correction algorithm of PVE at regional level in SPECT imaging. After a quantitative evaluation of the sigma of the PSF of the SPECT imaging system, several experimental situations have been studied using the standard IEC NEMA Body phantom, which contains six spherical inserts that mimic lesions with diameters of 10 mm, 13 mm, 17 mm, 22 mm, 28 mm, and 37 mm. They were filled with 99mTc mixed with distilled water using a sphere-to-background activity concentration ratio of 10: 1. The experimental measurements were carried out with two activity concentrations of 99mTc: 170.2 KBq/mL and 451.0 KBq/mL. The PVE correction approach has been employed in this paper to correct PVE on spherical volumes of interest (VOIs) of different sizes and to evaluate the recovery of quantitative data. Images were reconstructed using Ordered-Subset Expectation Maximization (OSEM) algorithm, applying scatter and attenuation corrections of photons, both with and without the application of the Butterworth filter. In the end, a post-reconstruction algorithm implemented with MATLAB was used. The mean difference rate between the corrected image and the raw image of the medium-sized spheres (13mm, 17mm, and 22mm) gives an improvement rate of about 70% of the PVE correction for unfiltered images at 170.2 KBq/mL. This work showed that the application of the PVE correction method recovers lost activity concentration with accuracy.}, year = {2023} }
TY - JOUR T1 - Partial Volume Effect (PVE) Correction in Single Photon Emission Computed Tomography (SPECT) Imaging AU - Koffi N’guessan Placide Gabin Allangba AU - Annick Kouame Koutouan AU - Alessia Giuliano AU - Zié Traoré AU - Antonio Traino Y1 - 2023/09/06 PY - 2023 N1 - https://doi.org/10.11648/j.rst.20230903.11 DO - 10.11648/j.rst.20230903.11 T2 - Radiation Science and Technology JF - Radiation Science and Technology JO - Radiation Science and Technology SP - 26 EP - 35 PB - Science Publishing Group SN - 2575-5943 UR - https://doi.org/10.11648/j.rst.20230903.11 AB - Quantitative analyses in Nuclear Medicine are essential, hence growing interest in algorithms that make nuclear medical data more reliable and accurate. The Partial Volume Effect (PVE) is the most important factor of loss of quantification in Nuclear Medicine, particularly for evaluation in regions of interest (ROIs) smaller than the Full Width at Half Maximum (FWHM) of the Point Spread Function (PSF) of the imaging system. This study is focused on applying a post-reconstruction correction algorithm of PVE at regional level in SPECT imaging. After a quantitative evaluation of the sigma of the PSF of the SPECT imaging system, several experimental situations have been studied using the standard IEC NEMA Body phantom, which contains six spherical inserts that mimic lesions with diameters of 10 mm, 13 mm, 17 mm, 22 mm, 28 mm, and 37 mm. They were filled with 99mTc mixed with distilled water using a sphere-to-background activity concentration ratio of 10: 1. The experimental measurements were carried out with two activity concentrations of 99mTc: 170.2 KBq/mL and 451.0 KBq/mL. The PVE correction approach has been employed in this paper to correct PVE on spherical volumes of interest (VOIs) of different sizes and to evaluate the recovery of quantitative data. Images were reconstructed using Ordered-Subset Expectation Maximization (OSEM) algorithm, applying scatter and attenuation corrections of photons, both with and without the application of the Butterworth filter. In the end, a post-reconstruction algorithm implemented with MATLAB was used. The mean difference rate between the corrected image and the raw image of the medium-sized spheres (13mm, 17mm, and 22mm) gives an improvement rate of about 70% of the PVE correction for unfiltered images at 170.2 KBq/mL. This work showed that the application of the PVE correction method recovers lost activity concentration with accuracy. VL - 9 IS - 3 ER -