Towards automatic plan selection for radiotherapy of cervical cancer by fast automatic segmentation of cone beam CT scans

Thomas Langerak*, Sabrina Heijkoop, Sandra Quint, Jan Willem Mens, Ben Heijmen, Mischa Hoogeman

*Corresponding author for this work

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

12 Citations (Scopus)

Abstract

We propose a method to automatically select a treatment plan for radiotherapy of cervical cancer using a Plan-of-the-Day procedure, in which multiple treatment plans are constructed prior to treatment. The method comprises a multi-atlas based segmentation algorithm that uses the selected treatment plan to choose between two atlas sets. This segmentation only requires two registration procedures and can therefore be used in clinical practice without using excessive computation time. Our method is validated on a dataset of 224 treatment fractions for 10 patients. In 37 cases (16%), no recommendation was made by the algorithm due to poor image quality or registration results. In 93% of the remaining cases a correct recommendation for a treatment plan was given.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Subtitle of host publication17th International Conference, Proceedings
Place of PublicationCham
Pages528-535
Number of pages8
ISBN (Electronic)978-3-319-10404-1
DOIs
Publication statusPublished - 2014
Event17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - Boston, MA, United States
Duration: 14 Sept 201418 Sept 2014

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8673 LNCS
ISSN0302-9743

Conference

Conference17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
Country/TerritoryUnited States
CityBoston, MA
Period14/09/1418/09/14

Bibliographical note

© 2014 Springer International Publishing Switzerland

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