Title :
Recent progresses on cerebral vasculature segmentation for 3D quantification and visualization of MRA
Author :
Luo, Suhuai ; Jin, Jesse S.
Author_Institution :
Sch. of Design, Commun. & IT, Newcastle Univ., NSW, Australia
Abstract :
In this paper we present a technical review on cerebral vasculature segmentation approaches developed recently. The scope of the review is mainly on the segmentation techniques that can provide complete three-dimensional (3D) vascular structure for quantification and visualization on magnetic resonance angiography (MRA) data. We first brief the specific considerations needed in segmenting cerebral vasculature from MRA data, and the taxonomy of the segmentation. Then we discuss the latest segmentation techniques with comments on their performance. In particular, we present our latest achievement in segmentation. Finally, we conclude and identify possible future challenges in the area.
Keywords :
biomedical MRI; data visualisation; image segmentation; vector quantisation; MRA data 3D quantification; MRA data visualization; cerebral vasculature segmentation; image segmentation; magnetic resonance angiography; Angiography; Arteries; Computer vision; Data visualization; Image analysis; Image segmentation; Magnetic resonance; Taxonomy; Ultrasonic imaging; Veins;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.233