title: Reconstruction-classification method for quantitative photoacoustic tomography.
abstract: We propose a combined reconstruction-classification method for simultaneously recovering absorption and scattering in turbid media from images of absorbed optical energy. This method exploits knowledge that optical parameters are determined by a limited number of classes to iteratively improve their estimate. Numerical experiments show that the proposed approach allows for accurate recovery of absorption and scattering in two and three dimensions, and delivers superior image quality with respect to traditional reconstruction-only approaches.
authors.affiliation: University College London, Department of Medical Physics and Biomedical Engineering, Gower Street, WC1E 6BT London, United Kingdom.
authors.forename: Emma
authors.initials: E
authors.lastname: Malone
authors.affiliation: University College London, Department of Computer Science, Gower Street, WC1E 6BT London, United Kingdom.
authors.forename: Samuel
authors.initials: S
authors.lastname: Powell
authors.affiliation: University College London, Department of Medical Physics and Biomedical Engineering, Gower Street, WC1E 6BT London, United Kingdom.
authors.forename: Ben T
authors.initials: BT
authors.lastname: Cox
authors.affiliation: University College London, Department of Computer Science, Gower Street, WC1E 6BT London, United Kingdom.
authors.forename: Simon
authors.initials: S
authors.lastname: Arridge
mesh_terms: D000162:Acoustics; D000465:Algorithms; D016000:Cluster Analysis; D004058:Diffusion; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008027:Light; D008962:Models, Theoretical; D009391:Nephelometry and Turbidimetry; D016011:Normal Distribution; D055095:Optics and Photonics; D010100:Oxygen / Q000737:chemistry; D012542:Scattering, Radiation; D014054:Tomography / Q000379:methods*
chemical_list: D010100:Oxygen