The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer.
Loading...
Embargo End Date
ICR Authors
Authors
Mason, SA
White, IM
Lalondrelle, S
Bamber, JC
Harris, EJ
White, IM
Lalondrelle, S
Bamber, JC
Harris, EJ
Document Type
Journal Article
Date
2020-04-01
Date Accepted
2019-09-04
Abstract
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.
Citation
Ultrasound in medicine & biology, 2020, 46 (4), pp. 1040 - 1052
Source Title
Publisher
ELSEVIER SCIENCE INC
ISSN
0301-5629
eISSN
1879-291X
Collections
Research Team
Gynaecological Cancer
Imaging for Radiotherapy Adaptation
Ultrasound & Optical Imaging
Imaging for Radiotherapy Adaptation
Ultrasound & Optical Imaging