Automatic selection of mask and arterial phase images for temporally resolved MR digital subtraction angiography.
For time-resolved background-subtracted contrast-enhanced magnetic resonance angiography, the bright and sparse arterial signal allows unique identification of contrast bolus arrival in the arteries. This article presents an automatic filtering algorithm using such arterial characterization for selecting arterial phase images and mask images to generate an optimal summary arteriogram. A paired double-blinded comparison demonstrated that this automatic algorithm is as effective as the manual process.
Kim
Junhwan
J
Department of Computer Science, Cornell University, New York, New York, USA. jkim@cs.cornell.edu
Prince
Martin R
MR
Zabih
Ramin
R
Bezanson
Jeff
J
Watts
Richard
R
Erel
Hale E
HE
Wang
Yi
Y
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000783:Aneurysm / Q000000981:diagnostic imaging; D015901:Angiography, Digital Subtraction / Q000379:methods*; D001331:Automation; D003287:Contrast Media; D005260:Female; D006083:Graft Occlusion, Vascular / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D018810:Magnetic Resonance Angiography / Q000379:methods*; D008297:Male; D008875:Middle Aged; D016491:Peripheral Vascular Diseases / Q000000981:diagnostic imaging*; D012680:Sensitivity and Specificity; D018709:Statistics, Nonparametric
D003287:Contrast Media