Background and objective Photoacoustic tomography (PAT) is capable of obtaining cross-
sectional images of small animals that represent the optical absorption of biological tissues.
The multispectral Interlaced Sparse Sampling PAT, or ISS-PAT, is a previously proposed
PAT imaging method that offered high quality images with much sparser transducer angular
coverage. Although it provides superior imaging performance, the original ISS-PAT method
suffered from a heavy computation burden, which hinders its practical application. Methods�…

Multispectral photoacoustic tomography (PAT) is capable of resolving tissue chromophore
distribution based on spectral un-mixing. It works by identifying the absorption spectrum
variations from a sequence of photoacoustic images acquired at multiple illumination
wavelengths. Due to multispectral acquisition, this inevitably creates a large dataset. To cut
down the data volume, sparse sampling methods that reduce the number of detectors have
been developed. However, image reconstruction of sparse sampling PAT is challenging�…