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 :
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