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Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy

To evaluate the accuracy of commercially available hybrid deformable image registration (DIR) algorithms when using planning CT (pCT) and daily cone‐beam computed tomography (CBCT) in radiation therapy for prostate cancer. The hybrid DIR algorithms in RayStation and MIM Maestro were evaluated. Conto...

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Autores principales: Motegi, Kana, Tachibana, Hidenobu, Motegi, Atsushi, Hotta, Kenji, Baba, Hiromi, Akimoto, Tetsuo
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/PMC6333149/
https://www.ncbi.nlm.nih.gov/pubmed/30592137
http://dx.doi.org/10.1002/acm2.12515
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author Motegi, Kana
Tachibana, Hidenobu
Motegi, Atsushi
Hotta, Kenji
Baba, Hiromi
Akimoto, Tetsuo
author_facet Motegi, Kana
Tachibana, Hidenobu
Motegi, Atsushi
Hotta, Kenji
Baba, Hiromi
Akimoto, Tetsuo
author_sort Motegi, Kana
collection PubMed
description To evaluate the accuracy of commercially available hybrid deformable image registration (DIR) algorithms when using planning CT (pCT) and daily cone‐beam computed tomography (CBCT) in radiation therapy for prostate cancer. The hybrid DIR algorithms in RayStation and MIM Maestro were evaluated. Contours of the prostate, bladder, rectum, and seminal vesicles (SVs) were used as region‐of‐interest (ROIs) to guide image deformation in the hybrid DIR and to compare the DIR accuracy. To evaluate robustness of the hybrid DIR for prostate cancer patients with organs with volume that vary on a daily basis, such as the bladder and rectum, the DIR algorithms were performed on ten pairs of CT volumes from ten patients who underwent prostate intensity‐modulated radiation therapy or volumetric modulated arc therapy. In a visual evaluation, MIM caused unrealistic image deformation in soft tissues, organs, and pelvic bones. The mean dice similarity coefficient (DSC) ranged from 0.46 to 0.90 for the prostate, bladder, rectum, and SVs; the SVs had the lowest DSC. Target registration error (TRE) at the centroid of the ROIs was about 2 mm for the prostate and bladder, and about 6 mm for the rectum and SVs. RayStation did not cause unrealistic image deformation, and could maintain the shape of pelvic bones in most cases. The mean DSC and TRE at the centroid of the ROIs were about 0.9 and within 5 mm generally. In both software programs, the use of ROIs to guide image deformation had the possibility to reduce any unrealistic image deformation and might be effective to keep the DIR physically reasonable. The pCT/CBCT DIR for the prostate cancer did not reduce the DIR accuracy because of the use of ROIs to guide the image deformation.
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spelling pubmed-63331492019-01-23 Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy Motegi, Kana Tachibana, Hidenobu Motegi, Atsushi Hotta, Kenji Baba, Hiromi Akimoto, Tetsuo J Appl Clin Med Phys Radiation Oncology Physics To evaluate the accuracy of commercially available hybrid deformable image registration (DIR) algorithms when using planning CT (pCT) and daily cone‐beam computed tomography (CBCT) in radiation therapy for prostate cancer. The hybrid DIR algorithms in RayStation and MIM Maestro were evaluated. Contours of the prostate, bladder, rectum, and seminal vesicles (SVs) were used as region‐of‐interest (ROIs) to guide image deformation in the hybrid DIR and to compare the DIR accuracy. To evaluate robustness of the hybrid DIR for prostate cancer patients with organs with volume that vary on a daily basis, such as the bladder and rectum, the DIR algorithms were performed on ten pairs of CT volumes from ten patients who underwent prostate intensity‐modulated radiation therapy or volumetric modulated arc therapy. In a visual evaluation, MIM caused unrealistic image deformation in soft tissues, organs, and pelvic bones. The mean dice similarity coefficient (DSC) ranged from 0.46 to 0.90 for the prostate, bladder, rectum, and SVs; the SVs had the lowest DSC. Target registration error (TRE) at the centroid of the ROIs was about 2 mm for the prostate and bladder, and about 6 mm for the rectum and SVs. RayStation did not cause unrealistic image deformation, and could maintain the shape of pelvic bones in most cases. The mean DSC and TRE at the centroid of the ROIs were about 0.9 and within 5 mm generally. In both software programs, the use of ROIs to guide image deformation had the possibility to reduce any unrealistic image deformation and might be effective to keep the DIR physically reasonable. The pCT/CBCT DIR for the prostate cancer did not reduce the DIR accuracy because of the use of ROIs to guide the image deformation. John Wiley and Sons Inc. 2018-12-27 /pmc/articles/PMC6333149/ /pubmed/30592137 http://dx.doi.org/10.1002/acm2.12515 Text en © 2018 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. 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 Radiation Oncology Physics
Motegi, Kana
Tachibana, Hidenobu
Motegi, Atsushi
Hotta, Kenji
Baba, Hiromi
Akimoto, Tetsuo
Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
title Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
title_full Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
title_fullStr Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
title_full_unstemmed Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
title_short Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
title_sort usefulness of hybrid deformable image registration algorithms in prostate radiation therapy
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333149/
https://www.ncbi.nlm.nih.gov/pubmed/30592137
http://dx.doi.org/10.1002/acm2.12515
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