Segmentation of clinical structures for radiotherapy treatment planning: A comparison of two morphological approaches

G. Bueno, M. H. Fisher, R. V. Aldridge

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

The segmentation of therapy-relevant structures is an important but time consuming stage in radiotherapy treatment planning. This paper compares the accuracy of two automatic approaches founded in mathematical morphology by examining their performance in segmenting the bladder in CT studies of the human pelvis. Both automatic approaches are evaluated with respect to a gold standard average manual segmentation derived from delineations produced by five clinical experts. The initial results show that although the segmentations produced by both morphological operators are similar there is still a need for manual interaction.
Original languageEnglish
Pages15-18
Number of pages4
DOIs
Publication statusPublished - Nov 2001
EventThe Seventh Australian and New Zealand Intelligent Information Systems Conference -
Duration: 18 Nov 200121 Nov 2001

Conference

ConferenceThe Seventh Australian and New Zealand Intelligent Information Systems Conference
Period18/11/0121/11/01

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