Significance Quantitative photoacoustic tomography (QPAT) exploits the photoacoustic
effect with the aim of estimating images of clinically relevant quantities related to the tissue's …

Photoacoustic imaging potentially allows for the real-time visualization of functional human
tissue parameters such as oxygenation but is subject to a challenging underlying …

Accurate measurement of optical absorption coefficients from photoacoustic imaging (PAI)
data would enable direct mapping of molecular concentrations, providing vital clinical …

Synthetic medical image generation has evolved as a key technique for neural network
training and validation. A core challenge, however, remains in the domain gap between …

Phantoms are test objects used for initial testing and optimization of medical imaging
techniques, but these rarely capture the complex properties of the tissue. Here we introduce …

Significance Photoacoustic imaging (PAI) provides contrast based on the concentration of
optical absorbers in tissue, enabling the assessment of functional physiological parameters …

Mesoscopic photoacoustic imaging (PAI) enables label‐free visualization of vascular
networks in tissues with high contrast and resolution. Segmenting these networks from 3D …

Photoacoustic tomography (PAT) has the potential to recover morphological and functional
tissue properties with high spatial resolution. However, previous attempts to solve the optical …

Mesoscopic photoacoustic imaging (PAI) enables non-invasive visualisation of tumour
vasculature. The visual or semi-quantitative 2D measurements typically applied to …

Significance Monte Carlo (MC) simulations are currently the gold standard in the near-
infrared and diffuse correlation spectroscopy (NIRS/DCS) communities for generating light …