Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries

Author(s):  
Yefeng Zheng ◽  
Jianhua Shen ◽  
Huseyin Tek ◽  
Gareth Funka-Lea
2011 ◽  
Vol 28 (4) ◽  
pp. 921-933 ◽  
Author(s):  
Guanyu Yang ◽  
Pieter Kitslaar ◽  
Michel Frenay ◽  
Alexander Broersen ◽  
Mark J. Boogers ◽  
...  

2008 ◽  
Author(s):  
Huseyin Tek

In this paper, we present an automatic method for extracting center axis representations (centerlines) of coronary arteries in contrast enhanced (CE)-CT angiography scans. The algorithm first detects the aorta which is used as an initial mask for ostia detection~cite{grady2006:fast}. Second, the ostia locations are detected via a vessel centerline extraction method~cite{Gulsun:Tek:008} which tracks the center axis of the coronaries starting from the aorta surface. The full centerline tree of the coronary arteries are computed via the multi-scale medialness-based vessel tree extraction algorithm which starts a tracking process from the ostia locations until all the braches are reached. The centerline extraction algorithm is a graph-based optimization algorithm using multi-scale medialness filters.


1974 ◽  
Vol 134 (1) ◽  
pp. 163-176 ◽  
Author(s):  
T. N. James
Keyword(s):  

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