Title :
Extraction of Brain Vessels from Magnetic Resonance Angiographic Images: Concise Literature Review, Challenges, and Proposals
Author :
Luo, Suhuai ; Youliang Zhao
Author_Institution :
The Sch. of Design, Commun. & IT, Newcastle Univ., NSW
fDate :
6/27/1905 12:00:00 AM
Abstract :
The automated extraction of brain vessels from magnetic resonance angiography (MRA) has found its applications in vascular disease diagnosis, endovascular operation and neurosurgical planning. In this paper we first present a concise technical review on cerebral vasculature extraction from MRA. It reveals the latest development in the area of vessel extraction. Then we detail the main challenges to the researchers working in the vessel extraction and segmentation area. Based on the review and our experience in the area, we finally present our proposals on ways of developing robust vessel extracting algorithm. Examples of brain vasculature extracted with advanced hybrid approach are shown. Twenty one references are given
Keywords :
biomedical MRI; blood vessels; brain; feature extraction; image segmentation; medical image processing; brain vessel extraction; cerebral vasculature extraction; endovascular operation; image segmentation; magnetic resonance angiographic images; neurosurgical planning; robust vessel extracting algorithm; vascular disease diagnosis; Active contours; Angiography; Computer science; Design engineering; Diseases; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Proposals; Robustness;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616697
