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Conference 13006 > Paper 13006-28
Paper 13006-28

Deep learning assisted photoacoustic image enhancement using in vivo ground truths based on photoacoustic fluctuation imaging

9 April 2024 • 14:30 - 14:50 CEST | Etoile B, Niveau/Level 1

Abstract

Conventional photoacoustic (PA) imaging suffers from visibility artefacts due to limitations in ultrasound transducer bandwidth, viewing angles, and the use of sparse arrays. PA fluctuation imaging (PAFI), exploiting the signal changes due to blood flow, compensates for these artefacts, at the cost of temporal resolution. Our study addresses this limitation employing a deep learning approach in which PAFI images serve as ground truths for training a 3D neural network to obtain real-time single-shot artefact-free images. Following a pre-training with simulated examples, a 3D-ResUnet network was trained with 90 PA chicken embryo vasculature volumes as input and corresponding PAFI as ground truths. Notably, inclusion of experimental data significantly improves predictions over simulation-only training, even accounting for transducer angular filtering. Furthermore, applying the same network exclusively trained in-ovo to predict the femoral artery in mice demonstrates the potential of this method for real-time, full-visibility multispectral PA imaging in vivo using sparse arrays.

Presenter

Ivana Falco
Lab. Interdisciplinaire de Physique, Univ. Grenoble Alpes, CNRS (France)
Ivana Falco is currently a third-year Ph.D. candidate at the Laboratoire Interdisciplinaire de Physique (LIPhy) in Grenoble, France. Her ongoing research focuses on innovative approaches for quantitative photoacoustic imaging through the contribution of ultrasound imaging, carrying on with her master's thesis that involved photoacoustic imaging and deep-learning algorithms. She completed her biomedical engineering degree at Politecnico di Torino, Italy, in 2021, after an exchange year at Université de Technologie de Compiègne, France.
Application tracks: AI/ML , EU-funded Research
Presenter/Author
Ivana Falco
Lab. Interdisciplinaire de Physique, Univ. Grenoble Alpes, CNRS (France)
Author
Lab. Interdisciplinaire de Physique, Univ. Grenoble Alpes, CNRS (France)
Author
Bastien Arnal
Lab. Interdisciplinaire de Physique, Univ. Grenoble Alpes, CNRS (France)
Author
Lab. Interdisciplinaire de Physique, Univ. Grenoble Alpes, CNRS (France)