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Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner

We present a solution to meet an unmet clinical need of an in‐situ “close look” at a pulmonary nodule or at the margins of a pulmonary cyst revealed by a primary (screening) chest CT while the patient is still in the scanner. We first evaluated options available on current whole‐body CT scanners for...

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Autores principales: Larsen, Thomas C., Gopalakrishnan, Vissagan, Yao, Jianhua, Nguyen, Catherine P., Chen, Marcus Y., Moss, Joel, Wen, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036356/
https://www.ncbi.nlm.nih.gov/pubmed/29785839
http://dx.doi.org/10.1002/acm2.12354
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author Larsen, Thomas C.
Gopalakrishnan, Vissagan
Yao, Jianhua
Nguyen, Catherine P.
Chen, Marcus Y.
Moss, Joel
Wen, Han
author_facet Larsen, Thomas C.
Gopalakrishnan, Vissagan
Yao, Jianhua
Nguyen, Catherine P.
Chen, Marcus Y.
Moss, Joel
Wen, Han
author_sort Larsen, Thomas C.
collection PubMed
description We present a solution to meet an unmet clinical need of an in‐situ “close look” at a pulmonary nodule or at the margins of a pulmonary cyst revealed by a primary (screening) chest CT while the patient is still in the scanner. We first evaluated options available on current whole‐body CT scanners for high resolution screening scans, including ROI reconstruction of the primary scan data and HRCT, but found them to have insufficient SNR in lung tissue or discontinuous slice coverage. Within the capabilities of current clinical CT systems, we opted for the solution of a secondary, volume‐of‐interest (VOI) protocol where the radiation dose is focused into a short‐beam axial scan at the z position of interest, combined with a small‐FOV reconstruction at the xy position of interest. The objective of this work was to design a VOI protocol that is optimized for targeted lung imaging in a clinical whole‐body CT system. Using a chest phantom containing a lung‐mimicking foam insert with a simulated cyst, we identified the appropriate scan mode and optimized both the scan and recon parameters. The VOI protocol yielded 3.2 times the texture amplitude‐to‐noise ratio in the lung‐mimicking foam when compared to the standard chest CT, and 8.4 times the texture difference between the lung mimicking and reference foams. It improved details of the wall of the simulated cyst and better resolution in a line‐pair insert. The Effective Dose of the secondary VOI protocol was 42% on average and up to 100% in the worst‐case scenario of VOI positioning relative to the standard chest CT. The optimized protocol will be used to obtain detailed CT textures of pulmonary lesions, which are biomarkers for the type and stage of lung diseases.
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spelling pubmed-60363562018-07-12 Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner Larsen, Thomas C. Gopalakrishnan, Vissagan Yao, Jianhua Nguyen, Catherine P. Chen, Marcus Y. Moss, Joel Wen, Han J Appl Clin Med Phys Medical Imaging We present a solution to meet an unmet clinical need of an in‐situ “close look” at a pulmonary nodule or at the margins of a pulmonary cyst revealed by a primary (screening) chest CT while the patient is still in the scanner. We first evaluated options available on current whole‐body CT scanners for high resolution screening scans, including ROI reconstruction of the primary scan data and HRCT, but found them to have insufficient SNR in lung tissue or discontinuous slice coverage. Within the capabilities of current clinical CT systems, we opted for the solution of a secondary, volume‐of‐interest (VOI) protocol where the radiation dose is focused into a short‐beam axial scan at the z position of interest, combined with a small‐FOV reconstruction at the xy position of interest. The objective of this work was to design a VOI protocol that is optimized for targeted lung imaging in a clinical whole‐body CT system. Using a chest phantom containing a lung‐mimicking foam insert with a simulated cyst, we identified the appropriate scan mode and optimized both the scan and recon parameters. The VOI protocol yielded 3.2 times the texture amplitude‐to‐noise ratio in the lung‐mimicking foam when compared to the standard chest CT, and 8.4 times the texture difference between the lung mimicking and reference foams. It improved details of the wall of the simulated cyst and better resolution in a line‐pair insert. The Effective Dose of the secondary VOI protocol was 42% on average and up to 100% in the worst‐case scenario of VOI positioning relative to the standard chest CT. The optimized protocol will be used to obtain detailed CT textures of pulmonary lesions, which are biomarkers for the type and stage of lung diseases. John Wiley and Sons Inc. 2018-05-21 /pmc/articles/PMC6036356/ /pubmed/29785839 http://dx.doi.org/10.1002/acm2.12354 Text en Published 2018. This article is a U.S. Government work and is in the public domain in the USA. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Medical Imaging
Larsen, Thomas C.
Gopalakrishnan, Vissagan
Yao, Jianhua
Nguyen, Catherine P.
Chen, Marcus Y.
Moss, Joel
Wen, Han
Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner
title Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner
title_full Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner
title_fullStr Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner
title_full_unstemmed Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner
title_short Optimization of a secondary VOI protocol for lung imaging in a clinical CT scanner
title_sort optimization of a secondary voi protocol for lung imaging in a clinical ct scanner
topic Medical Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036356/
https://www.ncbi.nlm.nih.gov/pubmed/29785839
http://dx.doi.org/10.1002/acm2.12354
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