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

Pengfei Song; Joshua D Trazasko; Armando Manduca; Runqing Huang; Ramanathan D Kadirvel; David F Kallmes; Shigao D Chen

doi:10.1109/ULTSYM.2017.8092824

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

Pengfei Song, Joshua D Trazasko, Armando Manduca, Runqing Huang, Ramanathan D Kadirvel, David F Kallmes, Shigao D Chen

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2017 IEEE International Ultrasonics Symposium, IUS 2017
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538633830
DOIs	https://doi.org/10.1109/ULTSYM.2017.8092824
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

ASJC Scopus subject areas

Acoustics and Ultrasonics

Access to Document

10.1109/ULTSYM.2017.8092824

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Song, P., Trazasko, J. D., Manduca, A., Huang, R., Kadirvel, R. D., Kallmes, D. F., & Chen, S. D. (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. https://doi.org/10.1109/ULTSYM.2017.8092824

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

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

Song, Pengfei ; Trazasko, Joshua D ; Manduca, Armando ; Huang, Runqing ; Kadirvel, Ramanathan D ; Kallmes, David F ; Chen, Shigao D. / Robust ultrasound super-resolution microvessel imaging with spatiotemporal nonlocal means filtering and bipartite graph-based microbubble tracking. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017.

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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.",

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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.

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