3 papers
eess.IV2024
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning
Ruibo Shang, Geoffrey P. Luke, Matthew O'Donnell
Deep learning has been used to improve photoacoustic (PA) image reconstruction. One major challenge is that errors cannot be quantified to validate predictions when ground truth is…
physics.med-ph2023
Non-contact acoustic micro-tapping optical coherence elastography for quantification of corneal anisotropic elasticity: in vivo rabbit study
Mitchell A Kirby, Gabriel Regnault, Ivan Pelivanov +3
Purpose. To demonstrate accurate measurement of corneal elastic moduli in vivo with non-contact and non-invasive optical coherence elastography. Methods. Elastic properties (in-pla…
physics.optics2022
Spatial resolution in optical coherence elastography of bounded media
Gabriel Regnault, Mitchell A. Kirby, Maju Kuriakose +4
Dynamic optical coherence elastography (OCE) tracks mechanical wave propagation in the subsurface region of tissue to image its shear modulus. For bulk shear waves, the lateral res…