Four-dimensional computational ultrasound imaging of brain hemodynamics

Journal article (2024)

Authors

Michael D. Brown Erasmus MC, University College London
Pieter Kruizinga Signal Processing Systems - EEMCS , Erasmus MC
P. Kruizinga Signal Processing Systems - EEMCS , Erasmus MC
S. K.E. Koekkoek Erasmus MC
C Strydis Computer Engineering - EEMCS , Erasmus MC
C. Strydis Computer Engineering - EEMCS , Erasmus MC
Christos Strydis Computer Engineering - EEMCS , Erasmus MC
Johannes G. Bosch Erasmus MC
Johannes Bosch Erasmus MC
Petros Arvanitis Erasmus MC
Geert Springeling Erasmus MC
G. Leus Signal Processing Systems - EEMCS
Geert Leus Signal Processing Systems - EEMCS
G.J.T. Leus Signal Processing Systems - EEMCS
Chris I. De Zeeuw Erasmus MC, Royal Dutch Academy for Arts and Sciences, Amsterdam
Research Group
Computer Engineering (EEMCS) (TU Delft)
Copyright: © 2024 Michael D. Brown, Bastian S. Generowicz, Stephanie Dijkhuizen, Sebastiaan K.E. Koekkoek, C. Strydis, Johannes G. Bosch, Petros Arvanitis, Geert Springeling, G.J.T. Leus, Chris I. De Zeeuw, P. Kruizinga
DOI: https://doi.org/10.1126/sciadv.adk7957
More Info
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Published Date

2024

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Computer Engineering

Abstract

Four-dimensional ultrasound imaging of complex biological systems such as the brain is technically challenging because of the spatiotemporal sampling requirements. We present computational ultrasound imaging (cUSi), an imaging method that uses complex ultrasound fields that can be generated with simple hardware and a physical wave prediction model to alleviate the sampling constraints. cUSi allows for high-resolution four-dimensional imaging of brain hemodynamics in awake and anesthetized mice.