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Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience
INTRODUCTION: Contouring has become an increasingly important aspect of radiation therapy due to inverse planning, and yet is extremely time‐consuming. To improve contouring efficiency and reduce potential inter‐observer variation, the atlas‐based auto‐segmentation (ABAS) function in Velocity was in...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920682/ https://www.ncbi.nlm.nih.gov/pubmed/31657129 http://dx.doi.org/10.1002/jmrs.359 |
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author | Hu, Yunfei Byrne, Mikel Archibald‐Heeren, Ben Thompson, Kenton Fong, Andrew Knesl, Marcel Teh, Amy Tiong, Eve Foster, Richard Melnyk, Paul Burr, Michelle Thompson, Amelia Lim, Jiy Moore, Luke Gordon, Fiona Humble, Rylie Hardy, Anna Williams, Saul |
author_facet | Hu, Yunfei Byrne, Mikel Archibald‐Heeren, Ben Thompson, Kenton Fong, Andrew Knesl, Marcel Teh, Amy Tiong, Eve Foster, Richard Melnyk, Paul Burr, Michelle Thompson, Amelia Lim, Jiy Moore, Luke Gordon, Fiona Humble, Rylie Hardy, Anna Williams, Saul |
author_sort | Hu, Yunfei |
collection | PubMed |
description | INTRODUCTION: Contouring has become an increasingly important aspect of radiation therapy due to inverse planning, and yet is extremely time‐consuming. To improve contouring efficiency and reduce potential inter‐observer variation, the atlas‐based auto‐segmentation (ABAS) function in Velocity was introduced to ICON cancer centres (ICC) throughout Australia as a solution for automatic contouring. METHODS: This paper described the implementation process of the ABAS function and the construction of user‐defined atlas sets and compared the contouring efficiency before and after the introduction of ABAS. RESULTS: The results indicate that the main limitation to the ABAS performance was Velocity's sub‐optimal atlas selection method. Three user‐defined atlas sets were constructed. Results suggested that the introduction of the ABAS saved at least 5 minutes of manual contouring time (P < 0.05), although further verification was required due to limitations in the data collection method. The pilot rollout adopting a ‘champion’ approach was successful and provided an opportunity to improve the user‐defined atlases prior to the national implementation. CONCLUSION: The implementation of user‐defined ABAS for head and neck (H&N) and female thorax patients at ICCs was successful, which achieved at least 5 minutes of efficiency gain. |
format | Online Article Text |
id | pubmed-6920682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69206822019-12-30 Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience Hu, Yunfei Byrne, Mikel Archibald‐Heeren, Ben Thompson, Kenton Fong, Andrew Knesl, Marcel Teh, Amy Tiong, Eve Foster, Richard Melnyk, Paul Burr, Michelle Thompson, Amelia Lim, Jiy Moore, Luke Gordon, Fiona Humble, Rylie Hardy, Anna Williams, Saul J Med Radiat Sci Original Articles INTRODUCTION: Contouring has become an increasingly important aspect of radiation therapy due to inverse planning, and yet is extremely time‐consuming. To improve contouring efficiency and reduce potential inter‐observer variation, the atlas‐based auto‐segmentation (ABAS) function in Velocity was introduced to ICON cancer centres (ICC) throughout Australia as a solution for automatic contouring. METHODS: This paper described the implementation process of the ABAS function and the construction of user‐defined atlas sets and compared the contouring efficiency before and after the introduction of ABAS. RESULTS: The results indicate that the main limitation to the ABAS performance was Velocity's sub‐optimal atlas selection method. Three user‐defined atlas sets were constructed. Results suggested that the introduction of the ABAS saved at least 5 minutes of manual contouring time (P < 0.05), although further verification was required due to limitations in the data collection method. The pilot rollout adopting a ‘champion’ approach was successful and provided an opportunity to improve the user‐defined atlases prior to the national implementation. CONCLUSION: The implementation of user‐defined ABAS for head and neck (H&N) and female thorax patients at ICCs was successful, which achieved at least 5 minutes of efficiency gain. John Wiley and Sons Inc. 2019-10-28 2019-12 /pmc/articles/PMC6920682/ /pubmed/31657129 http://dx.doi.org/10.1002/jmrs.359 Text en © 2019 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology 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 | Original Articles Hu, Yunfei Byrne, Mikel Archibald‐Heeren, Ben Thompson, Kenton Fong, Andrew Knesl, Marcel Teh, Amy Tiong, Eve Foster, Richard Melnyk, Paul Burr, Michelle Thompson, Amelia Lim, Jiy Moore, Luke Gordon, Fiona Humble, Rylie Hardy, Anna Williams, Saul Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience |
title | Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience |
title_full | Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience |
title_fullStr | Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience |
title_full_unstemmed | Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience |
title_short | Implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the Australian Experience |
title_sort | implementing user‐defined atlas‐based auto‐segmentation for a large multi‐centre organisation: the australian experience |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920682/ https://www.ncbi.nlm.nih.gov/pubmed/31657129 http://dx.doi.org/10.1002/jmrs.359 |
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