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Neuromorphic analysis of hemodynamics using event-based cameras

Abstract : The micro-circulation plays a crucial role in the exchange of molecules between blood cells and organic tissues. Both acute and chronic illnesses can cause a degradation of the micro-circulatory network. The main alterations are characterized by a reduction of the velocity of red blood cells and perfusion density of capillaries. The understanding of such deregulation is crucial in the pathophysiology of many diseases. Despite the recent development of some technical devices to study the micro-circulation, there is no ideal tool to evaluate the microcirculation at bedside. In this thesis, we present an innovative method which couples asynchronous time-based image sensors, built based on the working principle of the human retina, with medical imaging devices. Thanks to the high temporal resolution of these cameras, we estimate red blood cells velocities and densities within capillaries in real time and show for instance that during a hemorrhagic shock, our system estimates deregulation of the micro-circulation within minutes. Such a quick diagnosis could improve the evaluation of patients' states and real-time adaptation of hemodynamic treatments.
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Submitted on : Wednesday, August 26, 2020 - 11:12:30 AM
Last modification on : Friday, August 28, 2020 - 3:21:43 AM


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  • HAL Id : tel-02922470, version 1


Xavier Berthelon. Neuromorphic analysis of hemodynamics using event-based cameras. Computer Vision and Pattern Recognition [cs.CV]. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS404⟩. ⟨tel-02922470⟩



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