Rapid Directional Ultrasound Super-Resolution Flow Imaging using Erythrocytes, Hankel Decomposition, and Optical Flow

A rapid, contrast-free method for ultrasound super-resolution vector flow imaging is introduced. The approach enhances the SURE-Hankel pipeline by integrating frequency-based directional separation, Hankel-matrix Singular Value Decomposition (HSVD), and localized optical flow estimation. A multi-stage process isolates overlapping erythrocyte signals based on their directional and spatiotemporal characteristics. Subsequently, optical flow is applied to the envelope of these separated modes for 2D flow vector estimation. The method’s validation was performed on an in vivo rat kidney (8.7 MHz center frequency, wavelength λ≈ 178 µm). For 1-second acquisitions, spatial resolution was improved to 40.8 µm from 57.5 µm using standard SURE. Flow direction accuracy, quantified against ULM velocimetry, resulted in a mean absolute Flow Angle Difference of 28.7° and a mean bias of 1.3°, successfully determining flow direction both axially and laterally. This technique enables accurate, non-invasive vector flow mapping of the microvasculature within acquisitions compatible with a single breath-hold.

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Published
2025-09-15
DOI
https://doi.org/10.1109/ius62464.2025.11201802
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
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article

Rapid Directional Ultrasound Super-Resolution Flow Imaging using Erythrocytes, Hankel Decomposition, and Optical Flow

Anders Bjorholm Dahl, Jørgen Arendt Jensen, Hans Martin Kjer, Charlotte Mehlin Sørensen et al.
Photoacoustic and Ultrasonic Imaging
article

Rapid Directional Ultrasound Super-Resolution Flow Imaging using Erythrocytes, Hankel Decomposition, and Optical Flow

Anders Bjorholm Dahl, Jørgen Arendt Jensen, Hans Martin Kjer, Charlotte Mehlin Sørensen, Carsten Gundlach, Amy McDermott, L. Hansen, Andre Ráth
article en

Abstract

A rapid, contrast-free method for ultrasound super-resolution vector flow imaging is introduced. The approach enhances the SURE-Hankel pipeline by integrating frequency-based directional separation, Hankel-matrix Singular Value Decomposition (HSVD), and localized optical flow estimation. A multi-stage process isolates overlapping erythrocyte signals based on their directional and spatiotemporal characteristics. Subsequently, optical flow is applied to the envelope of these separated modes for 2D flow vector estimation. The method’s validation was performed on an in vivo rat kidney (8.7 MHz center frequency, wavelength λ≈ 178 µm). For 1-second acquisitions, spatial resolution was improved to 40.8 µm from 57.5 µm using standard SURE. Flow direction accuracy, quantified against ULM velocimetry, resulted in a mean absolute Flow Angle Difference of 28.7° and a mean bias of 1.3°, successfully determining flow direction both axially and laterally. This technique enables accurate, non-invasive vector flow mapping of the microvasculature within acquisitions compatible with a single breath-hold.

University of Copenhagen (DK), Technical University of Denmark (DK)
Openalex Percentile: Top 71%
Photoacoustic and Ultrasonic Imaging
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