DocumentCode
2110646
Title
Low Resolution Technique for Fast Identification of Carotid Artery in Computed Tomography
Author
Stuerke, Cecil
Author_Institution
Member, IEEE
fYear
2008
fDate
17-20 April 2008
Firstpage
1
Lastpage
4
Abstract
Just as in human experience, algorithms designed to automatically locate a target within a large picture can benefit from a step back that looks at the big picture. The methodology, shown here, greatly reduces the resolution so that large scale orientation markers can be used. With very large pixels, the processing is very fast, and the results of automated cropping provide a much reduced image for further processing.
Keywords
blood vessels; computerised tomography; feature extraction; medical image processing; automated cropping; automatic target localization; computed tomography; fast carotid artery identification; large scale orientation markers; Algorithm design and analysis; Blood vessels; Carotid arteries; Computed tomography; Crops; Humans; Large-scale systems; Muscles; Neck; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Region 5 Conference, 2008 IEEE
Conference_Location
Kansas City, MO
Print_ISBN
978-1-4244-2076-6
Electronic_ISBN
978-1-4244-2077-3
Type
conf
DOI
10.1109/TPSD.2008.4562762
Filename
4562762
Link To Document