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Minimal point volumetric outlining and editing for radiotherapy treatment planning

Published online by Cambridge University Press:  01 September 2017

Pete Bridge ,
Andrew Fielding ,
Pamela Rowntree  and
Andrew Pullar
Pete Bridge*
Affiliation:
Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia
Andrew Fielding
Affiliation:
Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD, Australia
Pamela Rowntree
Affiliation:
School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
Andrew Pullar
Affiliation:
Radiation Oncology Mater Centre, Brisbane, QLD, Australia
*
Correspondence to: Pete Bridge, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia. Tel: +6173 138 2273. E-mail: peter.bridge@connect.qut.edu.au
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Abstract

Purpose

A novel radiotherapy outlining application uses a small number of user-assigned points across orthogonal planes to generate a mesh which is then edited across multiple slices using innovative three-dimensional (3D) sculpting tools. This paper presents the results of a bladder outlining study that compared times and volumes for the new tool with those of a conventional manual outlining tool.

Materials and methods

All students undertaking their first University radiotherapy planning module were invited to participate. Following training, they performed a timed outlining of the same male bladder dataset and provided feedback on their preferred method.

Results

Comparison of times from the resulting ten datasets demonstrated that the 3D segmentation tool was significantly faster than conventional software with a mean time of 11·9 minutes compared with 19·2 minutes (p=0·03). The users expressed a preference for the new tool (eight users) over the conventional outlining software (two users).

Conclusions

A minimal point 3D volumetric manual outlining tool utilising orthogonal computed tomography planes demonstrated significant time saving for bladder segmentation compared with axial-based outlining within a group of novice outliners. Future work aims to establish the role of the 3D multi-slice sculpting tools in editing of auto-segmentation derived contour sets.

Keywords

outliningradiotherapysegmentationspeedtreatment planning
Type
Original Articles
Information
Journal of Radiotherapy in Practice , Volume 16 , Issue 3 , September 2017 , pp. 280 - 285
Copyright
© Cambridge University Press 2017 

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