
Proceedings Paper
Acoustic angiography: a new high frequency contrast ultrasound technique for biomedical imagingFormat | Member Price | Non-Member Price |
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Paper Abstract
Acoustic Angiography is a new approach to high-resolution contrast enhanced ultrasound imaging enabled by ultra-broadband transducer designs. The high frequency imaging technique provides signal separation from tissue which does not produce significant harmonics in the same frequency range, as well as high resolution. This approach enables imaging of microvasculature in-vivo with high resolution and signal to noise, producing images that resemble x-ray angiography. Data shows that acoustic angiography can provide important information about the presence of disease based on vascular patterns, and may enable a new paradigm in medical imaging.
Paper Details
Date Published: 19 May 2016
PDF: 12 pages
Proc. SPIE 9871, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, 987109 (19 May 2016); doi: 10.1117/12.2229179
Published in SPIE Proceedings Vol. 9871:
Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
Liyi Dai; Yufeng Zheng; Henry Chu; Anke D. Meyer-Bäse, Editor(s)
PDF: 12 pages
Proc. SPIE 9871, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, 987109 (19 May 2016); doi: 10.1117/12.2229179
Show Author Affiliations
Sarah E. Shelton, Univ. of North Carolina-Chapel Hill (United States)
North Carolina State Univ. (United States)
Brooks D. Lindsey, Univ. of North Carolina-Chapel Hill (United States)
North Carolina State Univ. (United States)
Ryan Gessner, Univ. of North Carolina-Chapel Hill (United States)
North Carolina State Univ. (United States)
SonoVol, Inc. (United States)
Yueh Lee, Univ. of North Carolina-Chapel Hill (United States)
Stephen Aylward, Kitware, Inc. (United States)
North Carolina State Univ. (United States)
Brooks D. Lindsey, Univ. of North Carolina-Chapel Hill (United States)
North Carolina State Univ. (United States)
Ryan Gessner, Univ. of North Carolina-Chapel Hill (United States)
North Carolina State Univ. (United States)
SonoVol, Inc. (United States)
Yueh Lee, Univ. of North Carolina-Chapel Hill (United States)
Stephen Aylward, Kitware, Inc. (United States)
Hyunggyun Lee, Sunnybrook Health Sciences Ctr. (Canada)
Emmanuel Cherin, Sunnybrook Health Sciences Ctr. (Canada)
F. Stuart Foster, Sunnybrook Health Sciences Ctr. (Canada)
Paul A. Dayton, Univ. of North Carolina-Chapel Hill (United States)
North Carolina State Univ. (United States)
Emmanuel Cherin, Sunnybrook Health Sciences Ctr. (Canada)
F. Stuart Foster, Sunnybrook Health Sciences Ctr. (Canada)
Paul A. Dayton, Univ. of North Carolina-Chapel Hill (United States)
North Carolina State Univ. (United States)
Published in SPIE Proceedings Vol. 9871:
Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
Liyi Dai; Yufeng Zheng; Henry Chu; Anke D. Meyer-Bäse, Editor(s)
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