Title
Fully Automated Common Carotid Artery and Internal Jugular Vein Identification and Tracking Using B-Mode Ultrasound.
Abstract
We describe a fully automated ultrasound analysis system that tracks and identifies the common carotid artery (CCA) and the internal jugular vein (IJV). Our goal is to prevent inadver- tent damage to the CCA when targeting the IJV for catheterization. The automated system starts by identifying and fitting ellipses to all the regions that look like major arteries or veins throughout each B-mode ultrasound image frame. The spokes ellipse algo- rithm described in this paper tracks these putative vessels and cal- culates their characteristics, which are then weighted and summed to identify the vessels. The optimum subset of characteristics and their weights were determined from a training set of 38 subjects, whose necks were scanned with a portable 10 MHz ultrasound sys- tem at 10 frames per second. Stepwise linear discriminant analysis (LDA) narrowed the characteristics to the five that best distinguish between the CCA and IJV. A paired version of Fisher's LDA was used to calculate the weights for each of the five parameters. Leave- one-out validation studies showed that the system could track and identify the CCA and IJV with 100% accuracy in this dataset. Index Terms—Biomedical acoustic imaging, biomedical engi- neering, biomedical image processing, blood vessels.
Year
DOI
Venue
2009
10.1109/TBME.2009.2015576
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
data interpretation,ultrasonography,image processing,fourier analysis,biomedical engineering,cardiovascular system,algorithms,ultrasound,linear discriminant analysis,statistics,psychology,biomedical imaging,tracking,discriminant analysis,frames per second
Computer vision,B mode ultrasound,Medical imaging,Computer science,Image processing,Internal jugular vein,Frame rate,Artificial intelligence,Linear discriminant analysis,Common carotid artery,Ultrasound
Journal
Volume
Issue
ISSN
56
6
0018-9294
Citations 
PageRank 
References 
8
0.71
6
Authors
6
Name
Order
Citations
PageRank
David C. Wang1121.55
Roberta L. Klatzky2827160.45
Bing Wu3727.01
Gregory Weller480.71
Allan R. Sampson5177.90
George D. Stetten614622.70