Deep learning approach to improve tangential resolution in photoacoustic tomography

• Main Authors: Rajendran, Praveenbalaji, Pramanik, Manojit
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Bioengineering; Photoacoustic Tomography (PAT); Tangential Resolution
• Online Access: https://hdl.handle.net/10356/146545
• Institution: Nanyang Technological University

In circular scan photoacoustic tomography (PAT), the axial resolution is spatially invariant and is limited by the bandwidth of the detector. However, the tangential resolution is spatially variant and is dependent on the aperture size of the detector. In particular, the tangential resolution improv...