Segmentation of Tubular Structures Using Flux Maximizing Flows: An Application to Color Medical Images

Author

Liu, Yugang ; Chen, Leiting ; Cai, Hongbin ; Qiu, Hang

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2011

fDate

15-16 May 2011

Firstpage

229

Lastpage

232

Abstract

The segmentation of vasculature is of utmost importance in medical image processing. It is arduous to represent the tubular structures of images obtained by recent imaging modalities with direct visualization. In this paper, we present a method of vessel segmentation in color volumetric medical images. Differ from using intensity images as data set, the improvement of traditional flux maximizing flows produce effective segmentations in color images. The visualization of vessel segmentation can illuminate the spatial structures of vasculature, making our techniques feasible for clinical diagnosis and many other applications.

Keywords

data visualisation; image colour analysis; image segmentation; medical image processing; patient diagnosis; clinical diagnosis; color volumetric medical images; direct visualization; flux maximizing flows; medical image processing; tubular structures segmentation; vasculature segmentation; vessel segmentation; Active contours; Biomedical imaging; Color; Equations; Image color analysis; Image segmentation; Level set; color medical images; flux maximizing flows; image segmentation; level set method;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Media and Digital Content Management (DMDCM), 2011 Workshop on

Conference_Location

Hangzhou

Print_ISBN

978-1-4577-0271-6

Electronic_ISBN

978-0-7695-4413-7

Type

conf

DOI

10.1109/DMDCM.2011.42

Filename

5959748