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

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

doi:10.1109/ANZIIS.2001.974041

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 conference › Paper › peer-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 language	English
Pages	15-18
Number of pages	4
DOIs	https://doi.org/10.1109/ANZIIS.2001.974041
Publication status	Published - Nov 2001
Event	7th Australian and New Zealand Intelligent Information Systems Conference - Perth, Australia Duration: 18 Nov 2001 → 21 Nov 2001 https://ieeexplore.ieee.org/xpl/conhome/7681/proceeding (Conference Proceedings)

Conference

Conference	7th Australian and New Zealand Intelligent Information Systems Conference
Abbreviated title	ANZIIS 2001
Country/Territory	Australia
City	Perth
Period	18/11/01 → 21/11/01
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7681/proceeding (Conference Proceedings)

Access to Document

10.1109/ANZIIS.2001.974041

Cite this

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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.",

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Segmentation of clinical structures for radiotherapy treatment planning: A comparison of two morphological approaches. / Bueno, G.; Fisher, M. H.; Aldridge, R. V.

2001. 15-18 Paper presented at 7th Australian and New Zealand Intelligent Information Systems Conference, Perth, Western Australia, Australia.

Research output: Contribution to conference › Paper › peer-review

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AU - Aldridge, R. V.

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AB - 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.

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