3D Reconstruction in photoacoustic imaging assisted by deep-learning
Ivana Falco
3D Reconstruction in photoacoustic imaging assisted by deep-learning.
Rel. Kristen Mariko Meiburger. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2021
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Abstract
Photoacoustic imaging (PA) is an emerging biomedical modality consisting in the emission of laser light, which, when is absorbed by the tissue components, generates ultrasound waves. After reception, the signals PA are used to provide an image by reconstruction algorithm, as the delay-and-sum beamforming. In the vast field of biomedical imaging, this modality is really promising, as it permits to image the tissue optical properties at depths with interesting resolutions and can provide images of the optical absorption with specific molecular contrast which can be enhanced by spectroscopy. In particular, the omnipresence of haemoglobin in living tissues allows the imaging of the microvasculature, which is one of the most important uses of photoacoustic imaging.
However, conventional PA imaging systems are limited by low contrast and visibility artefacts that arise from coherence of PA waves and characteristics of the detection system such as geometry and frequency bandwidth
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