Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation

Motion estimation and compensation are necessary for improvement of tumor quantification analysis in positron emission tomography (PET) images. The aim of this study was to propose adaptive PET imaging with internal motion estimation and correction using regional artificial evaluation of tumors inje...

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Autores principales:	Sang-Keun Woo, Byung-Chul Kim, Eun Kyoung Ryu, In Ok Ko, Yong Jin Lee
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	animal model imaging rat radioisotope respiratory organ Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/22ec048696f84cb1b079e498b23be3c9
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spelling	oai:doaj.org-article:22ec048696f84cb1b079e498b23be3c92021-11-25T17:21:57ZLow-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation10.3390/diagnostics111121382075-4418https://doaj.org/article/22ec048696f84cb1b079e498b23be3c92021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4418/11/11/2138https://doaj.org/toc/2075-4418Motion estimation and compensation are necessary for improvement of tumor quantification analysis in positron emission tomography (PET) images. The aim of this study was to propose adaptive PET imaging with internal motion estimation and correction using regional artificial evaluation of tumors injected with low-dose and high-dose radiopharmaceuticals. In order to assess internal motion, molecular sieves imitating tumors were loaded with <sup>18</sup>F and inserted into the lung and liver regions in rats. All models were classified into two groups, based on the injected radiopharmaceutical activity, to compare the effect of tumor intensity. The PET study was performed with injection of F-18 fluorodeoxyglucose (<sup>18</sup>F-FDG). Respiratory gating was carried out by external trigger device. Count, signal to noise ratio (SNR), contrast and full width at half maximum (FWHM) were measured in artificial tumors in gated images. Motion correction was executed by affine transformation with estimated internal motion data. Monitoring data were different from estimated motion. Contrast in the low-activity group was 3.57, 4.08 and 6.19, while in the high-activity group it was 10.01, 8.36 and 6.97 for static, 4 bin and 8 bin images, respectively. The results of the lung target in 4 bin and the liver target in 8 bin showed improvement in FWHM and contrast with sufficient SNR. After motion correction, FWHM was improved in both regions (lung: 24.56%, liver: 10.77%). Moreover, with the low dose of radiopharmaceuticals the PET image visualized specific accumulated radiopharmaceutical areas in the liver. Therefore, low activity in PET images should undergo motion correction before quantification analysis using PET data. We could improve quantitative tumor evaluation by considering organ region and tumor intensity.Sang-Keun WooByung-Chul KimEun Kyoung RyuIn Ok KoYong Jin LeeMDPI AGarticleanimal modelimagingratradioisotoperespiratory organMedicine (General)R5-920ENDiagnostics, Vol 11, Iss 2138, p 2138 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	animal model imaging rat radioisotope respiratory organ Medicine (General) R5-920
spellingShingle	animal model imaging rat radioisotope respiratory organ Medicine (General) R5-920 Sang-Keun Woo Byung-Chul Kim Eun Kyoung Ryu In Ok Ko Yong Jin Lee Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation
description	Motion estimation and compensation are necessary for improvement of tumor quantification analysis in positron emission tomography (PET) images. The aim of this study was to propose adaptive PET imaging with internal motion estimation and correction using regional artificial evaluation of tumors injected with low-dose and high-dose radiopharmaceuticals. In order to assess internal motion, molecular sieves imitating tumors were loaded with <sup>18</sup>F and inserted into the lung and liver regions in rats. All models were classified into two groups, based on the injected radiopharmaceutical activity, to compare the effect of tumor intensity. The PET study was performed with injection of F-18 fluorodeoxyglucose (<sup>18</sup>F-FDG). Respiratory gating was carried out by external trigger device. Count, signal to noise ratio (SNR), contrast and full width at half maximum (FWHM) were measured in artificial tumors in gated images. Motion correction was executed by affine transformation with estimated internal motion data. Monitoring data were different from estimated motion. Contrast in the low-activity group was 3.57, 4.08 and 6.19, while in the high-activity group it was 10.01, 8.36 and 6.97 for static, 4 bin and 8 bin images, respectively. The results of the lung target in 4 bin and the liver target in 8 bin showed improvement in FWHM and contrast with sufficient SNR. After motion correction, FWHM was improved in both regions (lung: 24.56%, liver: 10.77%). Moreover, with the low dose of radiopharmaceuticals the PET image visualized specific accumulated radiopharmaceutical areas in the liver. Therefore, low activity in PET images should undergo motion correction before quantification analysis using PET data. We could improve quantitative tumor evaluation by considering organ region and tumor intensity.
format	article
author	Sang-Keun Woo Byung-Chul Kim Eun Kyoung Ryu In Ok Ko Yong Jin Lee
author_facet	Sang-Keun Woo Byung-Chul Kim Eun Kyoung Ryu In Ok Ko Yong Jin Lee
author_sort	Sang-Keun Woo
title	Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation
title_short	Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation
title_full	Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation
title_fullStr	Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation
title_full_unstemmed	Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation
title_sort	low-dose pet imaging of tumors in lung and liver regions using internal motion estimation
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/22ec048696f84cb1b079e498b23be3c9
work_keys_str_mv	AT sangkeunwoo lowdosepetimagingoftumorsinlungandliverregionsusinginternalmotionestimation AT byungchulkim lowdosepetimagingoftumorsinlungandliverregionsusinginternalmotionestimation AT eunkyoungryu lowdosepetimagingoftumorsinlungandliverregionsusinginternalmotionestimation AT inokko lowdosepetimagingoftumorsinlungandliverregionsusinginternalmotionestimation AT yongjinlee lowdosepetimagingoftumorsinlungandliverregionsusinginternalmotionestimation
_version_	1718412456760442880

Low-Dose PET Imaging of Tumors in Lung and Liver Regions Using Internal Motion Estimation

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