Cargando…
The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer
The stacked-ellipse (SE) algorithm was developed to rapidly segment the uterus on 3-D ultrasound (US) for the purpose of enabling US-guided adaptive radiotherapy (RT) for uterine cervix cancer patients. The algorithm was initialised manually on a single sagittal slice to provide a series of elliptic...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pergamon Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043010/ https://www.ncbi.nlm.nih.gov/pubmed/31926750 http://dx.doi.org/10.1016/j.ultrasmedbio.2019.09.001 |
_version_ | 1783501382314098688 |
---|---|
author | Mason, Sarah A. White, Ingrid M. Lalondrelle, Susan Bamber, Jeffrey C. Harris, Emma J. |
author_facet | Mason, Sarah A. White, Ingrid M. Lalondrelle, Susan Bamber, Jeffrey C. Harris, Emma J. |
author_sort | Mason, Sarah A. |
collection | PubMed |
description | The stacked-ellipse (SE) algorithm was developed to rapidly segment the uterus on 3-D ultrasound (US) for the purpose of enabling US-guided adaptive radiotherapy (RT) for uterine cervix cancer patients. The algorithm was initialised manually on a single sagittal slice to provide a series of elliptical initialisation contours in semi-axial planes along the uterus. The elliptical initialisation contours were deformed according to US features such that they conformed to the uterine boundary. The uterus of 15 patients was scanned with 3-D US using the Clarity System (Elekta Ltd.) at multiple days during RT and manually contoured (n = 49 images and corresponding contours). The median (interquartile range) Dice similarity coefficient and mean surface-to-surface-distance between the SE algorithm and manual contours were 0.80 (0.03) and 3.3 (0.2) mm, respectively, which are within the ranges of reported inter-observer contouring variabilities. The SE algorithm could be implemented in adaptive RT to precisely segment the uterus on 3-D US. |
format | Online Article Text |
id | pubmed-7043010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Pergamon Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-70430102020-04-01 The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer Mason, Sarah A. White, Ingrid M. Lalondrelle, Susan Bamber, Jeffrey C. Harris, Emma J. Ultrasound Med Biol Article The stacked-ellipse (SE) algorithm was developed to rapidly segment the uterus on 3-D ultrasound (US) for the purpose of enabling US-guided adaptive radiotherapy (RT) for uterine cervix cancer patients. The algorithm was initialised manually on a single sagittal slice to provide a series of elliptical initialisation contours in semi-axial planes along the uterus. The elliptical initialisation contours were deformed according to US features such that they conformed to the uterine boundary. The uterus of 15 patients was scanned with 3-D US using the Clarity System (Elekta Ltd.) at multiple days during RT and manually contoured (n = 49 images and corresponding contours). The median (interquartile range) Dice similarity coefficient and mean surface-to-surface-distance between the SE algorithm and manual contours were 0.80 (0.03) and 3.3 (0.2) mm, respectively, which are within the ranges of reported inter-observer contouring variabilities. The SE algorithm could be implemented in adaptive RT to precisely segment the uterus on 3-D US. Pergamon Press 2020-04 /pmc/articles/PMC7043010/ /pubmed/31926750 http://dx.doi.org/10.1016/j.ultrasmedbio.2019.09.001 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mason, Sarah A. White, Ingrid M. Lalondrelle, Susan Bamber, Jeffrey C. Harris, Emma J. The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer |
title | The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer |
title_full | The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer |
title_fullStr | The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer |
title_full_unstemmed | The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer |
title_short | The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer |
title_sort | stacked-ellipse algorithm: an ultrasound-based 3-d uterine segmentation tool for enabling adaptive radiotherapy for uterine cervix cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043010/ https://www.ncbi.nlm.nih.gov/pubmed/31926750 http://dx.doi.org/10.1016/j.ultrasmedbio.2019.09.001 |
work_keys_str_mv | AT masonsaraha thestackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT whiteingridm thestackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT lalondrellesusan thestackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT bamberjeffreyc thestackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT harrisemmaj thestackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT masonsaraha stackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT whiteingridm stackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT lalondrellesusan stackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT bamberjeffreyc stackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer AT harrisemmaj stackedellipsealgorithmanultrasoundbased3duterinesegmentationtoolforenablingadaptiveradiotherapyforuterinecervixcancer |