DocumentCode
2808660
Title
Application of 3D local phase theory in vessel segmentation
Author
Wang, Po ; Kelly, Catherine ; Brady, Michael
Author_Institution
Dept of Eng. Sci., Univ. of Oxford, Oxford, UK
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
1174
Lastpage
1177
Abstract
The aim of this work is to segment, and quantify, the vasculature of tumours, based on fluorescent microscope 3D images. Such images have poor contrast and the vascular features vary substantially within a 3D volume. In this paper, we introduce a method to estimate local phase in 3D images based on the monogenic signal theory, and illustrate its performance on our vasculature images.
Keywords
biomedical optical imaging; blood vessels; fluorescence; image segmentation; medical image processing; tumours; 3D local phase theory; blood vessel; fluorescent microscope; image segmentation; monogenic signal theory; tumours; vasculature; Biomedical imaging; Blood vessels; Fluorescence; Image segmentation; Mathematical model; Microscopy; Neoplasms; Phase detection; Signal processing; Tumors; 3D local phase; blood vessel; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193267
Filename
5193267
Link To Document