Inertia-based vessel centerline extraction in retinal image

Author(s):  
Jihene Malek ◽  
Rached Tourki
Author(s):  
Tao Han ◽  
Danni Ai ◽  
Ruirui An ◽  
Jingfan Fan ◽  
Hong Song ◽  
...  

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.


2012 ◽  
Author(s):  
Yoo-Jin Jeong ◽  
Sebastian Ley ◽  
Rüdiger Dillmann ◽  
Roland Unterhinninghofen

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