NDLI: The implementation of acoustic angiography for microvascular and angiogenesis imaging

Content Provider	IEEE Xplore Digital Library
Author	Dayton, P.A. Gessner, R.C. Phillips, L. Shelton, S.E. Heath Martin, K. Lee, M. Foster, F.S.
Copyright Year	2014
Description	Author affiliation: Joint Dept. of Biomed. Eng., NC State Univ., Raleigh, NC, USA (Dayton, P.A.; Gessner, R.C.; Phillips, L.; Shelton, S.E.; Heath Martin, K.) \|\| Dept. of Med. Biophys., Univ. of Toronto at Sunnybrook, Sunnybrook, ON, Canada (Lee, M.; Foster, F.S.)
Abstract	Recently, it has been demonstrated that through the use of contrast agents and multi-frequency transducer technology, high resolution and high signal to noise ultrasound images can be obtained which illustrate microvascular structure in unprecedented detail for an ultrasound modality. The enabling technology is ultrasound transducers which are fabricated with elements which can excite microbubble contrast agents near resonance and detect their broadband harmonics at a much higher bandwidth (several times the fundamental frequency). The resulting images contain very little background from tissue scattering and thus provide high contrast, and can have a resolution on the order of 130 microns with an appropriate high frequency receiving element. Because microbubbles are strictly an intravascular agent, this approach enables visualization of microvascular morphology with unique clarity, providing insight into angiogenesis associated with tumor development.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	4283
Ending Page	4285
File Size	766962
Page Count	3
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944571
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acoustics Angiography Ultrasonic imaging Transducers Tumors Image resolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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