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2D and 3D multispectral photoacoustic imaging - Application to the evaluation of blood oxygen concentration -

Aneline Dolet 1, 2
1 Imagerie Ultrasonore
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
Abstract : Photoacoustic imaging is a functional technique based on the creation of acoustic waves from tissues excited by an optical source (laser pulses). The illumination of a region of interest, with a range of optical wavelengths, allows the discrimination of the imaged media. This modality is promising for various medical applications in which growth, aging and evolution of tissue vascularization have to be studied. Thereby, photoacoustic imaging provides access to blood oxygenation in biological tissues and also allows the discrimination of benign or malignant tumors and the dating of tissue death (necrosis). The present thesis aims at developing a multispectral photoacoustic image processing chain for the calculation of blood oxygenation in biological tissues. The main steps are, first, the data discrimination (clustering), to extract the regions of interest, and second, the quantification of the different media in these regions (unmixing). Several unsupervised clustering and unmixing methods have been developed and their performance compared on experimental multispectral photoacoustic data. They were acquired on the experimental photoacoustic platform of the laboratory, during collaborations with other laboratories and also on a commercial system. For the validation of the developed methods, many phantoms containing different optical absorbers have been produced. During the co-supervision stay in Italy, specific imaging modes for 2D and 3D real-time photoacoustic imaging were developed on a research scanner. Finally, in vivo acquisitions using a commercial system were conducted on animal model (mouse) to validate these developments.
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  • HAL Id : tel-02001216, version 2

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Aneline Dolet. 2D and 3D multispectral photoacoustic imaging - Application to the evaluation of blood oxygen concentration -. Signal and Image Processing. INSA Lyon - Ecole Doctorale Mécanique, Energétique, Génie Civil, Accoustique; Università degli studi di Firenze, 2018. English. ⟨NNT : 2018LYSEI070⟩. ⟨tel-02001216v2⟩

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