Imagerie photo-acoustique à détection optique

Abstract : In the context of an aging population, it is essential to develop clinical diagnostic tools that are accurate, reliable, inexpensive and easy to implement. During this thesis I particularly sought to perform a dynamic mapping of blood vessels in order to detect both cancers and cardiovascular diseases, two of the most deadly diseases. In order to have an effective diagnosis, it is necessary to image in depth with the best possible spatial and temporal resolution. In chapter 0 I explain the challenges of medical imaging on micro-vascularization by analyzing the advantages and disadvantages of several types of medical imaging. In chapter 1 I develop in detail the photo-acoustic imaging, which proved to be the most appropriate for our application. It has the advantage of optical contrast and acoustic resolution. In particular, I use frequency photo-acoustics, which is inexpensive and space-saving, and can therefore be easily integrated in the hospital world compared to "traditional" photo-acoustic imaging. I validate this part on in-vivo experimental results on mouse ears. In chapter 2 I tried to detect the photo-acoustic signal in an optical way which has the advantage of being contactless and therefore without any problem of clutter between "optical excitation" and "acoustic detection". I develop the signal processing necessary to detect an acoustic wave, i.e. vibrations, using an interferometer. Then I present in chapter 3 a particular interferometer developed in the laboratory: the Laser Optical Feedback Imaging (LOFI). This interferometer allows to be limited to photon noise even with a low intensity thus it makes it possible to detect vibrations of small amplitudes even on surfaces with a low reflecting index like the skin in accordance with medical standards. In chapter 4 I validate the detection of the photo-acoustic signal with our optical detection. Finally in chapter 5 I show with simulations an innovative full field imaging technique that would allow faster detection of a spectrally rich photo-acoustic signal.
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Submitted on : Wednesday, November 14, 2018 - 12:05:08 PM
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Vadim Girardeau. Imagerie photo-acoustique à détection optique. Optique / photonique. Université Grenoble Alpes, 2018. Français. ⟨NNT : 2018GREAT049⟩. ⟨tel-01922097⟩

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