Motion correction for routine X-ray lung CT imaging

Abstract A novel motion correction algorithm for X-ray lung CT imaging has been developed recently. It was designed to perform for routine chest or thorax CT scans without gating, namely axial or helical scans with pitch around 1.0. The algorithm makes use of two conjugate partial angle reconstructi...

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Autores principales:	Doil Kim, Jiyoung Choi, Duhgoon Lee, Hyesun Kim, Jiyoung Jung, Minkook Cho, Kyoung-Yong Lee
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/095f0cfc1b39492a841d8da7af5d7442
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spelling	oai:doaj.org-article:095f0cfc1b39492a841d8da7af5d74422021-12-02T13:30:34ZMotion correction for routine X-ray lung CT imaging10.1038/s41598-021-83403-w2045-2322https://doaj.org/article/095f0cfc1b39492a841d8da7af5d74422021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83403-whttps://doaj.org/toc/2045-2322Abstract A novel motion correction algorithm for X-ray lung CT imaging has been developed recently. It was designed to perform for routine chest or thorax CT scans without gating, namely axial or helical scans with pitch around 1.0. The algorithm makes use of two conjugate partial angle reconstruction images for motion estimation via non-rigid registration which is followed by a motion compensated reconstruction. Differently from other conventional approaches, no segmentation is adopted in motion estimation. This makes motion estimation of various fine lung structures possible. The aim of this study is to explore the performance of the proposed method in correcting the lung motion artifacts which arise even under routine CT scans with breath-hold. The artifacts are known to mimic various lung diseases, so it is of great interest to address the problem. For that purpose, a moving phantom experiment and clinical study (seven cases) were conducted. We selected the entropy and positivity as figure of merits to compare the reconstructed images before and after the motion correction. Results of both phantom and clinical studies showed a statistically significant improvement by the proposed method, namely up to 53.6% (p < 0.05) and up to 35.5% (p < 0.05) improvement by means of the positivity measure, respectively. Images of the proposed method show significantly reduced motion artifacts of various lung structures such as lung parenchyma, pulmonary vessels, and airways which are prominent in FBP images. Results of two exemplary cases also showed great potential of the proposed method in correcting motion artifacts of the aorta which is known to mimic aortic dissection. Compared to other approaches, the proposed method provides an excellent performance and a fully automatic workflow. In addition, it has a great potential to handle motions in wide range of organs such as lung structures and the aorta. We expect that this would pave a way toward innovations in chest and thorax CT imaging.Doil KimJiyoung ChoiDuhgoon LeeHyesun KimJiyoung JungMinkook ChoKyoung-Yong LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Doil Kim Jiyoung Choi Duhgoon Lee Hyesun Kim Jiyoung Jung Minkook Cho Kyoung-Yong Lee Motion correction for routine X-ray lung CT imaging
description	Abstract A novel motion correction algorithm for X-ray lung CT imaging has been developed recently. It was designed to perform for routine chest or thorax CT scans without gating, namely axial or helical scans with pitch around 1.0. The algorithm makes use of two conjugate partial angle reconstruction images for motion estimation via non-rigid registration which is followed by a motion compensated reconstruction. Differently from other conventional approaches, no segmentation is adopted in motion estimation. This makes motion estimation of various fine lung structures possible. The aim of this study is to explore the performance of the proposed method in correcting the lung motion artifacts which arise even under routine CT scans with breath-hold. The artifacts are known to mimic various lung diseases, so it is of great interest to address the problem. For that purpose, a moving phantom experiment and clinical study (seven cases) were conducted. We selected the entropy and positivity as figure of merits to compare the reconstructed images before and after the motion correction. Results of both phantom and clinical studies showed a statistically significant improvement by the proposed method, namely up to 53.6% (p < 0.05) and up to 35.5% (p < 0.05) improvement by means of the positivity measure, respectively. Images of the proposed method show significantly reduced motion artifacts of various lung structures such as lung parenchyma, pulmonary vessels, and airways which are prominent in FBP images. Results of two exemplary cases also showed great potential of the proposed method in correcting motion artifacts of the aorta which is known to mimic aortic dissection. Compared to other approaches, the proposed method provides an excellent performance and a fully automatic workflow. In addition, it has a great potential to handle motions in wide range of organs such as lung structures and the aorta. We expect that this would pave a way toward innovations in chest and thorax CT imaging.
format	article
author	Doil Kim Jiyoung Choi Duhgoon Lee Hyesun Kim Jiyoung Jung Minkook Cho Kyoung-Yong Lee
author_facet	Doil Kim Jiyoung Choi Duhgoon Lee Hyesun Kim Jiyoung Jung Minkook Cho Kyoung-Yong Lee
author_sort	Doil Kim
title	Motion correction for routine X-ray lung CT imaging
title_short	Motion correction for routine X-ray lung CT imaging
title_full	Motion correction for routine X-ray lung CT imaging
title_fullStr	Motion correction for routine X-ray lung CT imaging
title_full_unstemmed	Motion correction for routine X-ray lung CT imaging
title_sort	motion correction for routine x-ray lung ct imaging
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/095f0cfc1b39492a841d8da7af5d7442
work_keys_str_mv	AT doilkim motioncorrectionforroutinexraylungctimaging AT jiyoungchoi motioncorrectionforroutinexraylungctimaging AT duhgoonlee motioncorrectionforroutinexraylungctimaging AT hyesunkim motioncorrectionforroutinexraylungctimaging AT jiyoungjung motioncorrectionforroutinexraylungctimaging AT minkookcho motioncorrectionforroutinexraylungctimaging AT kyoungyonglee motioncorrectionforroutinexraylungctimaging
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Motion correction for routine X-ray lung CT imaging

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