Downloads: 83

Files in This Item:
File Description SizeFormat 
jrr.rrz031.pdf448.1 kBAdobe PDFView/Open
Title: Performance evaluation of a newly developed three-dimensional model-based global-to-local registration in prostate cancer
Authors: Nakamura, Mitsuhiro  kyouindb  KAKEN_id
Nakao, Megumi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-5508-4366 (unconfirmed)
Hirashima, Hideaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-1548-1970 (unconfirmed)
Iramina, Hiraku  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-4059-7932 (unconfirmed)
Mizowaki, Takashi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-8135-8746 (unconfirmed)
Author's alias: 中村, 光宏
中尾, 恵
平島, 英明
伊良皆, 拓
溝脇, 尚志
Keywords: 3D model-based global-to-local registration
finite element method-based registration
Laplacian-based registration
Hausdorff distance
prostate cancer
Issue Date: Sep-2019
Publisher: Oxford University Press (OUP)
Journal title: Journal of Radiation Research
Volume: 60
Issue: 5
Start page: 595
End page: 602
Abstract: We evaluated the performance of a newly developed three-dimensional (3D) model-based global-to-local registration of multiple organs, by comparing it with a 3D model-based global registration in the prostate region. This study included 220 prostate cancer patients who underwent intensity-modulated radiotherapy or volumetric-modulated arc therapy. Our registration proceeded sequentially, i.e. global registration including affine and piece-wise affine transformation followed by local registration. As a local registration, Laplacian-based and finite element method-based registration was implemented in Algorithm A and B, respectively. Algorithm C was for global registration alone. The template models for the prostate, seminal vesicles, rectum and bladder were constructed from the first 20 patients, and then three different registrations were performed on these organs for the remaining 200 patients, to assess registration accuracy. The 75th percentile Hausdorff distance was <1 mm in Algorithm A; it was >1 mm in Algorithm B, except for the prostate; and 3.9 mm for the prostate and >7.8 mm for other organs in Algorithm C. The median computation time to complete registration was <101, 30 and 16 s in Algorithms A, B and C, respectively. Analysis of variance revealed significant differences among Algorithms A–C in the Hausdorff distance and computation time. In addition, no significant difference was observed in the difference of Hausdorff distance between Algorithm A and B with Tukey’s multiple comparison test. The 3D model-based global-to-local registration, especially that implementing Laplacian-based registration, completed surface registration rapidly and provided sufficient registration accuracy in the prostate region.
Rights: © The Author(s) 2019. Published by Oxford University Press on behalf of The Japan Radiation Research Society and Japanese Society for Radiation Oncology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://hdl.handle.net/2433/241745
DOI(Published Version): 10.1093/jrr/rrz031
PubMed ID: 31135904
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks


Export Format: 


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.