52 citations · 57 across the 7 of their papers we have counts for
4 papers · 1 filter
Enhancing synthetic training data for quantitative photoacoustic tomography with generative deep learning
Ciaran Bench, Ben T. Cox
Multiwavelength photoacoustic images encode information about a tissue's optical absorption distribution. This can be used to estimate its blood oxygen saturation distribution (sO2…
open-UST: An Open-Source Ultrasound Tomography Transducer Array System
Morgan Roberts, Eleanor Martin, Michael D. Brown +2
Fast imaging methods are needed to promote widespread clinical adoption of Ultrasound Tomography (UST), and more widely available UST hardware could support the experimental valida…
Binary Volume Acoustic Holograms
Michael D. Brown, Ben T. Cox, Bradley E. Treeby
In recent years high-resolution 3D printing has enabled a diverse range of new, low-cost, methods for ultrasonic wave-front shaping. Acoustic holograms, particularly, allow for the…
Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance
Roman Hochuli, Samuel Powell, Simon Arridge +1
Forward and adjoint Monte Carlo (MC) models of radiance are proposed for use in model-based quantitative photoacoustic tomography. A 2D radiance MC model using a harmonic angular b…