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3D Ultrasound Localization Microscopy

Abstract : Ultrasound Localization Microscopy has demonstrated the ability to overcome the penetration/resolution conundrum in ultrasound imaging thanks to high frame rate imaging and contrast agents. However, this approach will fall short in its clinical translation if its main disadvantages aren’t addressed: 1- long time of acquisition 2- limited two dimensional field of view 3- motion artifacts 4-data overdose and 5- data processing times. Developing 3D ULM will allow to explore entire volumes within a few minutes of acquisition, giving access to all blood vessels down to micrometer size and imaging moving organs (i.e. a patient in a clinical setting).The objective of this thesis was to perform, for the first time, volumetric ultrasound localization microscopy and unveil its potential in-vitro and in-vivo. For this purpose, I first developed new post-processing techniques, reducing 2D data processing times by a factor of 300, allowing implementation of ULM on 3D data and increasing image quality. Then, I implemented new ultrasound sequences and demonstrated that sub-wavelength features could be resolved in a tailor made wall-less phantom. I then demonstrated that 3D imaging of the rat brain microvasculature with blood flow velocimetry was achievable with micrometric resolution, and implemented 3D motion correction and image registration to provide whole brain imaging.This new tool was used to investigate both the anatomy and the vascularization mechanisms in the brain. Making the transition from 2D ULM to 3D ULM paves the way towards better imaging of in vivo organs in the rat. Thanks to technological improvements 3D ULM will spread fast in research imaging and reach all the way to clinical care.
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Submitted on : Tuesday, September 29, 2020 - 7:12:16 PM
Last modification on : Thursday, September 1, 2022 - 11:13:30 AM
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  • HAL Id : tel-02953081, version 1



Baptiste Heiles. 3D Ultrasound Localization Microscopy. Human health and pathology. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLET065⟩. ⟨tel-02953081⟩



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