Carotid Artery and Jugular Vein Tracking and Differentiation Using Spatiotemporal Analysis

David C. Wang, Roberta Klatzky, N. Amesur, and George D. Stetten
Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Lecture Notes in Computer Science, October, 2006, pp. 654 - 661.


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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.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Quality of Life Technology Center
Associated Lab(s) / Group(s): Human-Robot Interaction Group
Associated Project(s): Sonic FlashlightTM
Number of pages: 8

Text Reference
David C. Wang, Roberta Klatzky, N. Amesur, and George D. Stetten, "Carotid Artery and Jugular Vein Tracking and Differentiation Using Spatiotemporal Analysis," Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Lecture Notes in Computer Science, October, 2006, pp. 654 - 661.

BibTeX Reference
@inproceedings{Wang_2006_5891,
   author = "David C Wang and Roberta Klatzky and N. Amesur and George D Stetten",
   title = "Carotid Artery and Jugular Vein Tracking and Differentiation Using Spatiotemporal Analysis",
   booktitle = "Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Lecture Notes in Computer Science",
   pages = "654 - 661",
   month = "October",
   year = "2006",
   volume = "4190",
}