In vivo whole brain microvascular imaging in mice using transcranial 3D Ultrasound Localization Microscopy

Demeulenaere, Oscar; Bertolo, Adrien; Pezet, Sophie; Ialy-Radio, Nathalie; Osmanski, Bruno; Papadacci, Clément; Tanter, Mickaël; Deffieux, Thomas; Pernot, Mathieu

doi:10.1016/j.ebiom.2022.103995

Cited by 60 publications

(58 citation statements)

References 40 publications

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“…To achieve high-quality 3D ultrasound imaging with fewer channel counts to reduce the system complexity, various approaches have been investigated, such as the synthetic aperture, sparse array [28][29][30], row-column-addressed matrix [31][32][33], and microbeamforming [34][35][36]. Recent studies showed that 3D ULMs can also be performed using a fully sampled array [37][38][39][40], a sparse array [41], and a rowcolumn-addressed matrix [42]. In this study, we adopted the synthetic aperture to reduce the system complexity, using a 256-channel system and a 1024-channel matrix probe to acquire ultrasound 3D ULM data.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Ultrasound Localization Microscopy with Bipartite Graph-Based Microbubble Pairing and Kalman-Filtering-Based Tracking on a 256-Channel Verasonics Ultrasound System with a 32 × 32 Matrix Array

et al. 2022

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Purpose Three-dimensional (3D) ultrasound localization microscopy (ULM) using a 2-D matrix probe and microbubbles (MBs) has recently been proposed to visualize microvasculature in three spatial dimensions beyond the ultrasound diffraction limit. However, 3D ULM has several limitations, including: (1) high system complexity, (2) complex MB flow dynamics in 3D, and (3) extremely long acquisition time that had to be addressed. Method To reduce the system complexity while maintaining high image quality, we used a sub-aperture process to reduce received channel counts. To address the second issue, a 3D bipartite graph-based method with Kalman filtering-based tracking was used in this study for MB tracking. An MB separation approach was incorporated to separate high concentration MB data into multiple, sparser MB datasets, allowing better MB localization and tracking for a limited acquisition time. Results The proposed method was first validated in a flow channel phantom, showing improved spatial resolutions compared with the contrasted enhanced power Doppler image. Then the proposed method was evaluated with an in vivo chicken embryo brain dataset. Results showed that the reconstructed 3D super-resolution image achieved a spatial resolution of around 52 μm (smaller than the wavelength of around 200 μm). Conclusion A lower system complexity of 3D ULM has been proposed. In addition, our proposed 3D ULM provided the capability of 3D motion compensation and MB tracking. Microvessels that cannot be resolved clearly using localization only, can be well identified with the proposed method.

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Section: Introductionmentioning

confidence: 99%

Three-Dimensional Ultrasound Localization Microscopy with Bipartite Graph-Based Microbubble Pairing and Kalman-Filtering-Based Tracking on a 256-Channel Verasonics Ultrasound System with a 32 × 32 Matrix Array

et al. 2022

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“…Full acoustic simulation, depending on the probe and the ultrasound sequence used can be computationally demanding. Higher frequency row column addressed or sparse array probes are beginning to emerge as valid alternatives to fully addressed probes and the translation of our technique to any probe design ad hoc is a tremendous advantage [28], [29]. The mathematical demonstration is available in supplementary materials.…”

Section: Discussionmentioning

confidence: 99%

“…Several attempts have been made at 3D ULM, originally relying on using linear probes (20,23), and then more recently using 2D matrix arrays with reduced volume rate (27). Recently published in the context of the mouse (28), 3D ULM has yet to be applied to the entire organ and needs to be equipped with proper metrics for resolution measurement, fast 3D ULM probe-independent algorithms and complemented with post-processing tools to handle large amounts of data for registration, vascular and hemodynamic characterization. Here, we report a volumetric ULM method relying on a fully populated matrix transducer and custom-built ultrasound scanner that achieves high volume rate 3D imaging at the microscale over an entire living rodent brain.…”

Section: Introductionmentioning

confidence: 99%

Volumetric Ultrasound Localization Microscopy of the Whole Rat Brain Microvasculature

Heiles

Chavignon

Bergel

et al. 2022

IEEE Open J. Ultrason., Ferroelect., Freq. Contr.

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Technologies to visualize whole organs across scales in vivo are essential for our understanding of biology in health and disease. To date, only post-mortem techniques achieve cellular resolution across entire organs. Here, we demonstrate in vivo volumetric ultrasound localization microscopy (ULM). We detail a universal methodological pipeline including dedicated 3D ULM, motion correction and realignment algorithms, as well as post-processing quantification of cerebral blood diameter and flow. We illustrate the power of this approach, by revealing the whole rat brain vasculature at a 14-fold improved resolution of 12 μm, and cerebral blood flows ranging from 1 to 120 mm/s. The exposed methodology and results pave the way to the investigation of in vivo vascular and hemodynamic processes across the mammalian brain in health and disease.INDEX TERMS ultrasound superresolution, 3D ultrasound imaging, neurovascular imaging rodent brain atlas

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“…Early studies conducted by Viessmann et al [1], Desailly et al [2][3], and O'Reilly et al [4] showed that one can break the resolution limit of acoustic waves by localizing microbubbles in the blood stream. The seminal papers by Errico et al [5] and Christensen-Jeffries et al [6] catalyzed the growth of the field, leading to many subsequent reports with successful in vivo applications [7][8][9][10][11][12][13][14][15][16] and technical advancements of super-resolution ultrasound imaging [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Contrast-free Super-resolution Doppler (CS Doppler) based on Deep Generative Neural Networks

You

Lowerison

Shin

et al. 2022

Preprint

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Super-resolution ultrasound microvessel imaging based on ultrasound localization microscopy (ULM) is an emerging imaging modality that is capable of resolving micron scaled vessels deep into tissue. In practice, ULM is limited by the need for contrast injection, long data acquisition, and computationally expensive post-processing times. In this study, we present a contrast-free super-resolution Doppler (CS Doppler) technique that uses deep generative networks to achieve super-resolution with short data acquisition. The training dataset is comprised of spatiotemporal ultrafast ultrasound signals acquired from in vivo mouse brains, while the testing dataset includes in vivo mouse brain, chicken embryo chorioallantoic membrane (CAM), and healthy human subjects. The in vivo mouse imaging studies demonstrate that CS Doppler could achieve an approximate 2-fold improvement in spatial resolution when compared with conventional power Doppler. In addition, the microvascular images generated by CS Doppler showed good agreement with the corresponding ULM images as indicated by a structural similarity index of 0.7837 and a peak signal-to-noise ratio of 25.52. Moreover, CS Doppler was able to preserve the temporal profile of the blood flow (e.g., pulsatility) that is similar to conventional power Doppler. Finally, the generalizability of CS Doppler was demonstrated on testing data of different tissues using different imaging settings. The fast inference time of the proposed deep generative network also allows CS Doppler to be implemented for real-time imaging. These features of CS Doppler offer a practical, fast, and robust microvascular imaging solution for many preclinical and clinical applications of Doppler ultrasound.

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In vivo whole brain microvascular imaging in mice using transcranial 3D Ultrasound Localization Microscopy

Cited by 60 publications

References 40 publications

Three-Dimensional Ultrasound Localization Microscopy with Bipartite Graph-Based Microbubble Pairing and Kalman-Filtering-Based Tracking on a 256-Channel Verasonics Ultrasound System with a 32 × 32 Matrix Array

Three-Dimensional Ultrasound Localization Microscopy with Bipartite Graph-Based Microbubble Pairing and Kalman-Filtering-Based Tracking on a 256-Channel Verasonics Ultrasound System with a 32 × 32 Matrix Array

Volumetric Ultrasound Localization Microscopy of the Whole Rat Brain Microvasculature

Contrast-free Super-resolution Doppler (CS Doppler) based on Deep Generative Neural Networks

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