DocumentCode
3351908
Title
Watershed segmentation of medical volumes with paint drop marking
Author
Signoroni, A. ; Zanetti, G. ; Grazioli, R. ; Leonardi, R.
Author_Institution
Signals & Commun. Lab., Univ. of Brescia, Brescia, Italy
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
2561
Lastpage
2564
Abstract
We present an improvement of the classical marker-controlled watershed approach in the direction of a better exploitation of user-defined markers. The combined action of a partial flooding and paint drops falling downwards on the gray value relief from marker locations, leads to a robust and meaningful identification of the candidate basins, which is a prerequisite for an accurate segmentation. This is useful for user-controlled segmentation of biomedical volumes in that it facilitates robust identification of complex 3D structures with inhomogeneous borders. To this end, a visual interactive segmentation system has been implemented where different user-data interaction tools can be selected by physicians to generate machine-understandable knowledge in a quick and compact way. Experimental results on selected use-cases demonstrate the strengths of the proposed solutions.
Keywords
image segmentation; interactive systems; medical image processing; paints; biomedical volumes; classical marker controlled watershed approach; complex 3D structures; inhomogeneous borders; machine understandable knowledge; medical volumes; paint drop marking; partial flooding; robust identification; user controlled segmentation; user data interaction tool; user defined markers; visual interactive segmentation; watershed segmentation; Biomedical imaging; Image segmentation; Paints; Robustness; Three dimensional displays; Transforms; Visualization; 3D Biomedical Datasets; Image segmentation; Interactive systems; Watershed;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5652565
Filename
5652565
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