A semi-automatic method for segmentation of the carotid bifurcation and bifurcation angle quantification on black blood MRA.
Quantitative information about the geometry of the carotid artery bifurcation may help in predicting the development of atherosclerosis. A geodesic active contours based segmentation method combining both gradient and intensity information was developed for semi-automatic, accurate and robust quantification of the carotid bifurcation angle in Black Blood MRA data. The segmentation method was evaluated by comparing its accuracy to inter and intra observer variability on a large dataset that has been acquired as part of a longitudinal population study which investigates the natural progression of carotid atherosclerosis. Furthermore, the method is shown to be robust to initialization differences. The bifurcation angle obtained from the segmented lumen corresponds well with the angle derived from the manual lumen segmentation, which demonstrates that the method has large potential to replace manual segmentations for extracting the carotid bifurcation angle from Black Blood MRA data.
Tang
Hui
H
Department of Radiology, Erasmus MC-University Medical Center Rotterdam, The Netherlands. h.tang@tudelft.nl
van Onkelen
Robbert S
RS
van Walsum
Theo
T
Hameeteman
Reinhard
R
Schaap
Michiel
M
Tori
Fufa L
FL
van den Bouwhuijsen
Quirijn J A
QJ
Witteman
Jacqueline C M
JC
van der Lugt
Aad
A
van Vliet
Lucas J
LJ
Niessen
Wiro J
WJ
D000465:Algorithms; D002339:Carotid Arteries / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D018810:Magnetic Resonance Angiography / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity