Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction

Four-Dimensional Cone-Beam Computed Tomography (4D-CBCT) imaging is important in upper abdomen tumor radiation treatment as it can obtain the tumor motion information immediately before treatment. However, the number of projections at a single phase for 4D-CBCT imaging is very small, and the CT imag...

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Autores principales:	Ying Mo, Jia Liu, Qian Li, Jiahong Yu, Kunpeng Zhang, Yang Gao, Hua Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	4D-CBCT reconstruction motion estimation MVFs Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/0e10f63e621c48a6b01e8fef339dd6e2
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id	oai:doaj.org-article:0e10f63e621c48a6b01e8fef339dd6e2
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spelling	oai:doaj.org-article:0e10f63e621c48a6b01e8fef339dd6e22021-11-18T00:07:45ZJoint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction2169-353610.1109/ACCESS.2021.3110861https://doaj.org/article/0e10f63e621c48a6b01e8fef339dd6e22021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9530581/https://doaj.org/toc/2169-3536Four-Dimensional Cone-Beam Computed Tomography (4D-CBCT) imaging is important in upper abdomen tumor radiation treatment as it can obtain the tumor motion information immediately before treatment. However, the number of projections at a single phase for 4D-CBCT imaging is very small, and the CT images reconstructed by using conventional algorithms will be contaminated by view aliasing artifacts and noises. To address this problem, we propose a framework to jointly estimate and compensate the inter-phase motion for 4D-CBCT image reconstruction. Specifically, by introducing the intensity-based optical flow (OF) constraint into the reconstruction framework, the model can deal with the inter-frame displacements and improve the image quality simultaneously. The primal-dual algorithm method was used to optimize the cost function of the proposed model. Experiments on physical phantoms and patient data show that the proposed approach can effectively reduce the noise and artifacts in 4D–CBCT images and achieve the inter-phase motion vector fields (MVFs).Ying MoJia LiuQian LiJiahong YuKunpeng ZhangYang GaoHua ZhangIEEEarticle4D-CBCT reconstructionmotion estimationMVFsElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 147559-147569 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	4D-CBCT reconstruction motion estimation MVFs Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	4D-CBCT reconstruction motion estimation MVFs Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ying Mo Jia Liu Qian Li Jiahong Yu Kunpeng Zhang Yang Gao Hua Zhang Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction
description	Four-Dimensional Cone-Beam Computed Tomography (4D-CBCT) imaging is important in upper abdomen tumor radiation treatment as it can obtain the tumor motion information immediately before treatment. However, the number of projections at a single phase for 4D-CBCT imaging is very small, and the CT images reconstructed by using conventional algorithms will be contaminated by view aliasing artifacts and noises. To address this problem, we propose a framework to jointly estimate and compensate the inter-phase motion for 4D-CBCT image reconstruction. Specifically, by introducing the intensity-based optical flow (OF) constraint into the reconstruction framework, the model can deal with the inter-frame displacements and improve the image quality simultaneously. The primal-dual algorithm method was used to optimize the cost function of the proposed model. Experiments on physical phantoms and patient data show that the proposed approach can effectively reduce the noise and artifacts in 4D–CBCT images and achieve the inter-phase motion vector fields (MVFs).
format	article
author	Ying Mo Jia Liu Qian Li Jiahong Yu Kunpeng Zhang Yang Gao Hua Zhang
author_facet	Ying Mo Jia Liu Qian Li Jiahong Yu Kunpeng Zhang Yang Gao Hua Zhang
author_sort	Ying Mo
title	Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction
title_short	Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction
title_full	Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction
title_fullStr	Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction
title_full_unstemmed	Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction
title_sort	joint motion estimation and compensation for four-dimensional cone-beam computed tomography image reconstruction
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/0e10f63e621c48a6b01e8fef339dd6e2
work_keys_str_mv	AT yingmo jointmotionestimationandcompensationforfourdimensionalconebeamcomputedtomographyimagereconstruction AT jialiu jointmotionestimationandcompensationforfourdimensionalconebeamcomputedtomographyimagereconstruction AT qianli jointmotionestimationandcompensationforfourdimensionalconebeamcomputedtomographyimagereconstruction AT jiahongyu jointmotionestimationandcompensationforfourdimensionalconebeamcomputedtomographyimagereconstruction AT kunpengzhang jointmotionestimationandcompensationforfourdimensionalconebeamcomputedtomographyimagereconstruction AT yanggao jointmotionestimationandcompensationforfourdimensionalconebeamcomputedtomographyimagereconstruction AT huazhang jointmotionestimationandcompensationforfourdimensionalconebeamcomputedtomographyimagereconstruction
_version_	1718425206079356928

Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction

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