Combining MIP images and fuzzy set principles for vessels segmentation: application to TOF MRA and CE-MRA

Author

Vermandel, M. ; Betrouni, N. ; Viard, R. ; Dewalle, A.S. ; Blond, S. ; Rousseau, J.

Author_Institution

Univ. Hopsital, Lille

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

6255

Lastpage

6258

Abstract

In this paper, we introduce an approach for selective segmentation of vascular structure which has been applied for intracranial vessels. Based on MIP and fuzzy set principles, this approach brings good results while segmentation is achieved rapidly. The added value of this approach is a minimal user interaction and the taking into account of the volume partial effect. This approach has been evaluated following different experiment: phantom tests, clinical data, and methods comparison.

Keywords

biomedical MRI; blood vessels; fuzzy set theory; image segmentation; CE-MRA; MIP images; TOF MRA; fuzzy set principles; magnetic resonance angiography; selective segmentation; vessels segmentation; volume partial effect; Angiography; Fuzzy sets; Image segmentation; Imaging phantoms; Magnetic resonance; Magnetic resonance imaging; Pixel; Spatial resolution; Testing; X-ray imaging; Algorithms; Artificial Intelligence; Blood Vessels; Fuzzy Logic; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Angiography; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353785

Filename

4353785