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
fDate :
June 28 2009-July 1 2009
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;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193267
