Paper Info
Title
Carotid artery and jugular vein tracking and differentiation using spatiotemporal analysis.
Abstract
We have derived and evaluated parameters from ultrasound images of the neck to permit a computer to automatically characterize and differentiate between the carotid artery and jugular vein at image acquisition time during vascular interventions, given manually placed seed points. Our goal is to prevent inadvertent damage to the carotid artery when targeting the jugular vein for catheterization. We used a portable 10 MHz ultrasound system to acquire cross sectional B-mode ultrasound images of these great vessels at 10 fps. An expert user identified the vessels in the first frame by touching the vessels on the screen with his fingertip, and the computer automatically tracked the vessels and calculated a best-fit ellipse for each vessel in each subsequent frame. Vessel location and radii were further analyzed to produce parameters that proved useful for differentiating between the carotid artery and jugular vein. These parameters include relative location of the vessels, distension of the vessel walls, and consistent phase difference between the arterial and venous pulsations as determined by temporal Fourier analysis.
Year
DOI
Venue
2006
10.1007/11866565_80
MICCAI
Keywords
Field
DocType
vessel location,jugular vein tracking,jugular vein,relative location,mhz ultrasound system,cross sectional b-mode ultrasound,spatiotemporal analysis,subsequent frame,vessel wall,great vessel,ultrasound image,carotid artery,fourier analysis,ultrasound,cross section
Jugular vein,Anatomy,Carotid arteries,Great vessels,Distension,Internal jugular vein,Spatiotemporal Analysis,Medicine,Ultrasound
Conference
Volume
Issue
ISSN
9
Pt 1
0302-9743
ISBN
Citations 
PageRank 
3-540-44707-5
5
0.54
References 
Authors
5
4
Name
Order
Citations
PageRank
David Wang150.54
Roberta L. Klatzky2827160.45
Nikhil Amesur350.88
George D. Stetten414622.70