Sounding out the hidden data : a concise review of deep learning in photoacoustic imaging

• Main Authors: DiSpirito, Anthony, Vu, Tri, Pramanik, Manojit, Yao, Junjie
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Bioengineering; Photoacoustic Tomography; Deep Learning
• Online Access: https://hdl.handle.net/10356/152402
• Institution: Nanyang Technological University

The rapidly evolving field of photoacoustic tomography utilizes endogenous chromophores to extract both functional and structural information from deep within tissues. It is this power to perform precise quantitative measurements in vivo-with endogenous or exogenous contrast-that makes photoacoustic...