Abstract
Recently multiple studies have demonstrated microbubble (MB)-based super-resolution imaging (SRI) with ∼λ/10 subwavelength resolution on mice and rats. Clinical translation of SRI, however, faces many technical challenges such as low signal-to-noise-ratio (SNR) of the MB signal and physiologic and operator-induced motion in humans. In this study, we take advantage of the rich spatiotemporal information and high frame rate recording of MB signals by ultrafast imaging, and propose a spatiotemporal nonlocal means (NLM) denoising filter and bipartite graph(BG)-based MB pairing and tracking algorithm to achieve robust SRI.
| Original language | English (US) |
|---|---|
| Title of host publication | 2017 IEEE International Ultrasonics Symposium, IUS 2017 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781538633830 |
| DOIs | |
| State | Published - Oct 31 2017 |
| Event | 2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States Duration: Sep 6 2017 → Sep 9 2017 |
Other
| Other | 2017 IEEE International Ultrasonics Symposium, IUS 2017 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 9/6/17 → 9/9/17 |
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ASJC Scopus subject areas
- Acoustics and Ultrasonics
Cite this
Robust ultrasound super-resolution microvessel imaging with spatiotemporal nonlocal means filtering and bipartite graph-based microbubble tracking. / Song, Pengfei; Trazasko, Joshua D; Manduca, Armando; Huang, Runqing; Kadirvel, Ramanathan D; Kallmes, David F; Chen, Shigao D.
2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8092824.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Robust ultrasound super-resolution microvessel imaging with spatiotemporal nonlocal means filtering and bipartite graph-based microbubble tracking
AU - Song, Pengfei
AU - Trazasko, Joshua D
AU - Manduca, Armando
AU - Huang, Runqing
AU - Kadirvel, Ramanathan D
AU - Kallmes, David F
AU - Chen, Shigao D
PY - 2017/10/31
Y1 - 2017/10/31
N2 - Recently multiple studies have demonstrated microbubble (MB)-based super-resolution imaging (SRI) with ∼λ/10 subwavelength resolution on mice and rats. Clinical translation of SRI, however, faces many technical challenges such as low signal-to-noise-ratio (SNR) of the MB signal and physiologic and operator-induced motion in humans. In this study, we take advantage of the rich spatiotemporal information and high frame rate recording of MB signals by ultrafast imaging, and propose a spatiotemporal nonlocal means (NLM) denoising filter and bipartite graph(BG)-based MB pairing and tracking algorithm to achieve robust SRI.
AB - Recently multiple studies have demonstrated microbubble (MB)-based super-resolution imaging (SRI) with ∼λ/10 subwavelength resolution on mice and rats. Clinical translation of SRI, however, faces many technical challenges such as low signal-to-noise-ratio (SNR) of the MB signal and physiologic and operator-induced motion in humans. In this study, we take advantage of the rich spatiotemporal information and high frame rate recording of MB signals by ultrafast imaging, and propose a spatiotemporal nonlocal means (NLM) denoising filter and bipartite graph(BG)-based MB pairing and tracking algorithm to achieve robust SRI.
UR - http://www.scopus.com/inward/record.url?scp=85039435847&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85039435847&partnerID=8YFLogxK
U2 - 10.1109/ULTSYM.2017.8092824
DO - 10.1109/ULTSYM.2017.8092824
M3 - Conference contribution
AN - SCOPUS:85039435847
BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017
PB - IEEE Computer Society
ER -