scholarly journals Automatic Coronary Tree Modeling

2008 ◽  
Author(s):  
Huseyin Tek
Keyword(s):  
Coronary Arteries ◽  
Multi Scale ◽  
Centerline Extraction ◽  
Tracking Process ◽  
Contrast Enhanced ◽  
Tree Modeling ◽  
Extraction Algorithm ◽  
Center Axis ◽  
Vessel Tree ◽  
Vessel Centerline

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.

Multi-Scale Anti-Occlusion Correlation Filters Object Tracking Method Based on Complementary Features

2020 ◽  
pp. 2155002
Author(s):  
Xiuhua Hu ◽  
Yuan Chen ◽  
Yan Hui ◽  
Yingyu Liang ◽  
Guiping Li ◽  
...  
Keyword(s):  
Object Tracking ◽  
Scale Model ◽  
Correlation Filters ◽  
Motion Feature ◽  
Tracking Method ◽  
Object State ◽  
Multi Scale ◽  
Tracking Process ◽  
Object Appearance ◽  
Response Peak

Aiming to tackle the problem of tracking drift easily caused by complex factors during the tracking process, this paper proposes an improved object tracking method under the framework of kernel correlation filter. To achieve discriminative information that is not sensitive to object appearance change, it combines dimensionality-reduced Histogram of Oriented Gradients features and Lab color features, which can be used to exploit the complementary characteristics robustly. Based on the idea of multi-resolution pyramid theory, a multi-scale model of the object is constructed, and the optimal scale for tracking the object is found according to the confidence maps’ response peaks of different sizes. For the case that tracking failure can easily occur when there exists inappropriate updating in the model, it detects occlusion based on whether the occlusion rate of the response peak corresponding to the best object state is less than a set threshold. At the same time, Kalman filter is used to record the motion feature information of the object before occlusion, and predict the state of the object disturbed by occlusion, which can achieve robust tracking of the object affected by occlusion influence. Experimental results show the effectiveness of the proposed method in handling various internal and external interferences under challenging environments.

Perfusion Impairment in Patients with Normal-appearing Coronary Arteries: Identification with Contrast-enhanced MR Imaging

Radiology ◽  
2006 ◽  
Vol 238 (2) ◽  
pp. 464-472 ◽  
Author(s):  
Luíz Francisco Rodrigues de Ávila ◽  
Juliano Lara Fernandes ◽  
Carlos Eduardo Rochitte ◽  
Giovanni G. Cerri ◽  
José Parga Filho
Keyword(s):  
Mr Imaging ◽  
Coronary Arteries ◽  
Contrast Enhanced

scholarly journals Contrast-Enhanced 64-Slice Computed Tomography in Detection and Evaluation of Anomalous Coronary Arteries

2007 ◽  
Vol 213 (3) ◽  
pp. 249-259 ◽  
Author(s):  
Mustafa Karaca ◽  
Ata Kirilmaz ◽  
Güray Oncel ◽  
Dilek Oncel ◽  
Hasan Yilmaz ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Arteries ◽  
Contrast Enhanced ◽  
Anomalous Coronary ◽  
Anomalous Coronary Arteries

Coronary Arteries: MR Angiography with Fast Contrast-enhanced Three-dimensional Breath-hold Imaging—Initial Experience

Radiology ◽  
1999 ◽  
Vol 210 (2) ◽  
pp. 566-572 ◽  
Author(s):  
Winfried Kessler ◽  
Gerhard Laub ◽  
Stephan Achenbach ◽  
Dieter Ropers ◽  
Werner Moshage ◽  
...  
Keyword(s):  
Coronary Arteries ◽  
Mr Angiography ◽  
Three Dimensional ◽  
Breath Hold ◽  
Initial Experience ◽  
Contrast Enhanced
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