Title
Cerebral artery-vein separation using 0.1-Hz oscillation in dual-wavelength optical imaging.
Abstract
We present a novel artery-vein separation method using 0.1-Hz oscillation at two wavelengths with optical imaging of intrinsic signals (OIS). The 0.1-Hz oscillation at a green light wavelength of 546 nm exhibits greater amplitude in arteries than in veins and is primarily caused by vasomotion, whereas the 0.1-Hz oscillation at a red light wavelength of 630 nm exhibits greater amplitude in veins th...
Year
DOI
Venue
2011
10.1109/TMI.2011.2160191
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Arteries,Veins,Oscillators,Image segmentation,Optical imaging,Feature extraction,Matched filters
Cerebral arteries,Vasomotion,Computer vision,Oscillation,Vein,Optics,Artificial intelligence,Gaussian network model,Matched filter,Amplitude,Wavelength,Mathematics
Journal
Volume
Issue
ISSN
30
12
0278-0062
Citations 
PageRank 
References 
1
0.35
21
Authors
4
Name
Order
Citations
PageRank
Yucheng Wang110.35
Dewen Hu21290101.20
Yadong Liu310514.04
Ming Li4134.67