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FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy
The combination external-beam radiotherapy and high-dose-rate brachytherapy is a standard form of treatment for patients with locally advanced uterine cervical cancer. Personalized radiotherapy in cervical cancer requires efficient and accurate dose planning and assessment across these types of trea...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384778/ https://www.ncbi.nlm.nih.gov/pubmed/28388623 http://dx.doi.org/10.1371/journal.pone.0174926 |
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author | Gao, Qinquan Lin, Shaohui Bai, Penggang Du, Min Ni, Xiaolei Ke, Dongzhong Tong, Tong |
author_facet | Gao, Qinquan Lin, Shaohui Bai, Penggang Du, Min Ni, Xiaolei Ke, Dongzhong Tong, Tong |
author_sort | Gao, Qinquan |
collection | PubMed |
description | The combination external-beam radiotherapy and high-dose-rate brachytherapy is a standard form of treatment for patients with locally advanced uterine cervical cancer. Personalized radiotherapy in cervical cancer requires efficient and accurate dose planning and assessment across these types of treatment. To achieve radiation dose assessment, accurate mapping of the dose distribution from HDR-BT onto EBRT is extremely important. However, few systems can achieve robust dose fusion and determine the accumulated dose distribution during the entire course of treatment. We have therefore developed a toolbox (FZUImageReg), which is a user-friendly dose fusion system based on hybrid image registration for radiation dose assessment in cervical cancer radiotherapy. The main part of the software consists of a collection of medical image registration algorithms and a modular design with a user-friendly interface, which allows users to quickly configure, test, monitor, and compare different registration methods for a specific application. Owing to the large deformation, the direct application of conventional state-of-the-art image registration methods is not sufficient for the accurate alignment of EBRT and HDR-BT images. To solve this problem, a multi-phase non-rigid registration method using local landmark-based free-form deformation is proposed for locally large deformation between EBRT and HDR-BT images, followed by intensity-based free-form deformation. With the transformation, the software also provides a dose mapping function according to the deformation field. The total dose distribution during the entire course of treatment can then be presented. Experimental results clearly show that the proposed system can achieve accurate registration between EBRT and HDR-BT images and provide radiation dose warping and fusion results for dose assessment in cervical cancer radiotherapy in terms of high accuracy and efficiency. |
format | Online Article Text |
id | pubmed-5384778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53847782017-05-03 FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy Gao, Qinquan Lin, Shaohui Bai, Penggang Du, Min Ni, Xiaolei Ke, Dongzhong Tong, Tong PLoS One Research Article The combination external-beam radiotherapy and high-dose-rate brachytherapy is a standard form of treatment for patients with locally advanced uterine cervical cancer. Personalized radiotherapy in cervical cancer requires efficient and accurate dose planning and assessment across these types of treatment. To achieve radiation dose assessment, accurate mapping of the dose distribution from HDR-BT onto EBRT is extremely important. However, few systems can achieve robust dose fusion and determine the accumulated dose distribution during the entire course of treatment. We have therefore developed a toolbox (FZUImageReg), which is a user-friendly dose fusion system based on hybrid image registration for radiation dose assessment in cervical cancer radiotherapy. The main part of the software consists of a collection of medical image registration algorithms and a modular design with a user-friendly interface, which allows users to quickly configure, test, monitor, and compare different registration methods for a specific application. Owing to the large deformation, the direct application of conventional state-of-the-art image registration methods is not sufficient for the accurate alignment of EBRT and HDR-BT images. To solve this problem, a multi-phase non-rigid registration method using local landmark-based free-form deformation is proposed for locally large deformation between EBRT and HDR-BT images, followed by intensity-based free-form deformation. With the transformation, the software also provides a dose mapping function according to the deformation field. The total dose distribution during the entire course of treatment can then be presented. Experimental results clearly show that the proposed system can achieve accurate registration between EBRT and HDR-BT images and provide radiation dose warping and fusion results for dose assessment in cervical cancer radiotherapy in terms of high accuracy and efficiency. Public Library of Science 2017-04-07 /pmc/articles/PMC5384778/ /pubmed/28388623 http://dx.doi.org/10.1371/journal.pone.0174926 Text en © 2017 Gao et al http://creativecommons.org/licenses/by/4.0/ 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gao, Qinquan Lin, Shaohui Bai, Penggang Du, Min Ni, Xiaolei Ke, Dongzhong Tong, Tong FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy |
title | FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy |
title_full | FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy |
title_fullStr | FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy |
title_full_unstemmed | FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy |
title_short | FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy |
title_sort | fzuimagereg: a toolbox for medical image registration and dose fusion in cervical cancer radiotherapy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384778/ https://www.ncbi.nlm.nih.gov/pubmed/28388623 http://dx.doi.org/10.1371/journal.pone.0174926 |
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