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)


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
Number of pages4
Publication statusPublished - Nov 2001
Event7th Australian and New Zealand Intelligent Information Systems Conference - Perth, Australia
Duration: 18 Nov 200121 Nov 2001 (Conference Proceedings)


Conference7th Australian and New Zealand Intelligent Information Systems Conference
Abbreviated titleANZIIS 2001
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