Robust ultrasound super-resolution microvessel imaging with spatiotemporal nonlocal means filtering and bipartite graph-based microbubble tracking

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period9/6/179/9/17

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rats
mice
signal to noise ratios
recording
filters
operators

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 proceedingConference contribution

Song, P, Trazasko, JD, Manduca, A, Huang, R, Kadirvel, RD, Kallmes, DF & Chen, SD 2017, Robust ultrasound super-resolution microvessel imaging with spatiotemporal nonlocal means filtering and bipartite graph-based microbubble tracking. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8092824, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 9/6/17. https://doi.org/10.1109/ULTSYM.2017.8092824
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AU - Kadirvel, Ramanathan D

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AU - Chen, Shigao D

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