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Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model

PURPOSE: The purpose of this study is to introduce the new concept of a four-dimensional (4D) cone-beam computed tomography (CBCT) reconstruction approach for non-periodic organ motion in cooperation with the time-ordered chain graph model (TCGM) and to compare it with previously developed methods s...

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Autores principales: Nakano, Masahiro, Haga, Akihiro, Kotoku, Jun’ichi, Magome, Taiki, Masutani, Yoshitaka, Hanaoka, Shouhei, Kida, Satoshi, Nakagawa, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5584034/
https://www.ncbi.nlm.nih.gov/pubmed/28870227
http://dx.doi.org/10.1186/s13014-017-0879-8
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author Nakano, Masahiro
Haga, Akihiro
Kotoku, Jun’ichi
Magome, Taiki
Masutani, Yoshitaka
Hanaoka, Shouhei
Kida, Satoshi
Nakagawa, Keiichi
author_facet Nakano, Masahiro
Haga, Akihiro
Kotoku, Jun’ichi
Magome, Taiki
Masutani, Yoshitaka
Hanaoka, Shouhei
Kida, Satoshi
Nakagawa, Keiichi
author_sort Nakano, Masahiro
collection PubMed
description PURPOSE: The purpose of this study is to introduce the new concept of a four-dimensional (4D) cone-beam computed tomography (CBCT) reconstruction approach for non-periodic organ motion in cooperation with the time-ordered chain graph model (TCGM) and to compare it with previously developed methods such as total variation-based compressed sensing (TVCS) and prior-image constrained compressed sensing (PICCS). MATERIALS AND METHODS: Our proposed reconstruction is based on a model including the constraint originating from the images of neighboring time phases. Namely, the reconstructed time-series images depend on each other in this TCGM scheme, and the time-ordered images are concurrently reconstructed in the iterative reconstruction approach. In this study, iterative reconstruction with the TCGM was carried out with 90° projection ranges. The images reconstructed by the TCGM were compared with the images reconstructed by TVCS (200° projection ranges) and PICCS (90° projection ranges). Two kinds of projection data sets–an elliptic-cylindrical digital phantom and two clinical patients’ data–were used. For the digital phantom, an air sphere was contained and virtually moved along the longitudinal axis by 3 cm/30 s and 3 cm/60 s; the temporal resolution was evaluated by measuring the penumbral width of the air sphere. The clinical feasibility of the non-periodic time-ordered 4D CBCT image reconstruction was examined with the patient data in the pelvic region. RESULTS: In the evaluation of the digital-phantom reconstruction, the penumbral widths of the TCGM yielded the narrowest result; the results obtained by PICCS and TCGM using 90° projection ranges were 2.8% and 18.2% for 3 cm/30 s, and 5.0% and 23.1% for 3 cm/60 s narrower than that of TVCS using 200° projection ranges. This suggests that the TCGM has a better temporal resolution, whereas PICCS seems similar to TVCS. These reconstruction methods were also compared using patients’ projection data sets. Although all three reconstruction results showed motion related to rectal gas or stool, the result obtained by the TCGM was visibly clearer with less blurring. CONCLUSION: The TCGM is a feasible approach to visualize non-periodic organ motion. The digital-phantom results demonstrated that the proposed method provides 4D image series with a better temporal resolution compared to TVCS and PICCS. The clinical patients’ results also showed that the present method enables us to visualize motion related to rectal gas and flatus in the rectum.
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spelling pubmed-55840342017-09-06 Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model Nakano, Masahiro Haga, Akihiro Kotoku, Jun’ichi Magome, Taiki Masutani, Yoshitaka Hanaoka, Shouhei Kida, Satoshi Nakagawa, Keiichi Radiat Oncol Research PURPOSE: The purpose of this study is to introduce the new concept of a four-dimensional (4D) cone-beam computed tomography (CBCT) reconstruction approach for non-periodic organ motion in cooperation with the time-ordered chain graph model (TCGM) and to compare it with previously developed methods such as total variation-based compressed sensing (TVCS) and prior-image constrained compressed sensing (PICCS). MATERIALS AND METHODS: Our proposed reconstruction is based on a model including the constraint originating from the images of neighboring time phases. Namely, the reconstructed time-series images depend on each other in this TCGM scheme, and the time-ordered images are concurrently reconstructed in the iterative reconstruction approach. In this study, iterative reconstruction with the TCGM was carried out with 90° projection ranges. The images reconstructed by the TCGM were compared with the images reconstructed by TVCS (200° projection ranges) and PICCS (90° projection ranges). Two kinds of projection data sets–an elliptic-cylindrical digital phantom and two clinical patients’ data–were used. For the digital phantom, an air sphere was contained and virtually moved along the longitudinal axis by 3 cm/30 s and 3 cm/60 s; the temporal resolution was evaluated by measuring the penumbral width of the air sphere. The clinical feasibility of the non-periodic time-ordered 4D CBCT image reconstruction was examined with the patient data in the pelvic region. RESULTS: In the evaluation of the digital-phantom reconstruction, the penumbral widths of the TCGM yielded the narrowest result; the results obtained by PICCS and TCGM using 90° projection ranges were 2.8% and 18.2% for 3 cm/30 s, and 5.0% and 23.1% for 3 cm/60 s narrower than that of TVCS using 200° projection ranges. This suggests that the TCGM has a better temporal resolution, whereas PICCS seems similar to TVCS. These reconstruction methods were also compared using patients’ projection data sets. Although all three reconstruction results showed motion related to rectal gas or stool, the result obtained by the TCGM was visibly clearer with less blurring. CONCLUSION: The TCGM is a feasible approach to visualize non-periodic organ motion. The digital-phantom results demonstrated that the proposed method provides 4D image series with a better temporal resolution compared to TVCS and PICCS. The clinical patients’ results also showed that the present method enables us to visualize motion related to rectal gas and flatus in the rectum. BioMed Central 2017-09-04 /pmc/articles/PMC5584034/ /pubmed/28870227 http://dx.doi.org/10.1186/s13014-017-0879-8 Text en © The Author(s) 2017 Open Access This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Nakano, Masahiro
Haga, Akihiro
Kotoku, Jun’ichi
Magome, Taiki
Masutani, Yoshitaka
Hanaoka, Shouhei
Kida, Satoshi
Nakagawa, Keiichi
Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model
title Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model
title_full Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model
title_fullStr Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model
title_full_unstemmed Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model
title_short Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model
title_sort cone-beam ct reconstruction for non-periodic organ motion using time-ordered chain graph model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5584034/
https://www.ncbi.nlm.nih.gov/pubmed/28870227
http://dx.doi.org/10.1186/s13014-017-0879-8
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