Deep learning for super-resolution vascular ultrasound imaging

Ruud J.G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Yonina C. Eldar, Massimo Mischi

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

8 Citaten (Scopus)

Samenvatting

Based on the intravascular infusion of gas microbubbles, which act as ultrasound contrast agents, ultrasound localization microscopy has enabled super resolution vascular imaging through precise detection of individual microbubbles across numerous imaging frames. However, analysis of high-density regions with significant overlaps among the microbubble point spread functions typically yields high localization errors, constraining the technique to low-concentration conditions. As such, long acquisition times are required for sufficient coverage of the vascular bed. Algorithms based on sparse recovery have been developed specifically to cope with the overlapping point-spread-functions of multiple microbubbles. While successful localization of densely-spaced emitters has been demonstrated, even highly optimized fast sparse recovery techniques involve a time-consuming iterative procedure. In this work, we used deep learning to improve upon standard ultrasound localization microscopy (Deep-ULM), and obtain super-resolution vascular images from high-density contrast-enhanced ultrasound data. Deep-ULM is suitable for real-time applications, resolving about 1250 high-resolution patches (128×128 pixels) per second using GPU acceleration.

Originele taal-2Engels
Titel2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1055-1059
Aantal pagina's5
ISBN van elektronische versie978-1-4799-8131-1
DOI's
StatusGepubliceerd - 1 mei 2019
Evenement44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, Verenigd Koninkrijk
Duur: 12 mei 201917 mei 2019

Congres

Congres44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
LandVerenigd Koninkrijk
StadBrighton
Periode12/05/1917/05/19

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  • Citeer dit

    van Sloun, R. J. G., Solomon, O., Bruce, M., Khaing, Z. Z., Eldar, Y. C., & Mischi, M. (2019). Deep learning for super-resolution vascular ultrasound imaging. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (blz. 1055-1059). [8683813] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2019.8683813