Photoacoustic Tomography Reconstruction from Sparse Data using Ray Tracing.MS44

In this talk we show the use of high frequency asymptotic approximation to the solution of the wave equation in photoacoustic tomography (PAT). We consider ray tracing, a technique that involves solving the wave equation along the trajectories of a Hamiltonian system. We evaluate the quality of the ray tracing solutions to both the forward and inverse problem against a full wave solution obtained using a k-space method implemented in k-Wave Toolbox [1]. The major benefit of ray tracing approach versus the full wave solution is that the solution along each ray can be obtained independently and at a much lower cost than the full solution. [1] B. E. Treeby and B. T. Cox, k-wave: Matlab toolbox for the simulation and reconstruction of photoacoustic wave fields, Journal of biomedical optics, 15 (2010), pp. 021314–021314.

This presentation is part of Minisymposium “MS44 - 3D Image Depth/Texture/Reflectivity Tracking, Modelling and Reconstruction
organized by: Catherine Higham (University of Glasgow) , Roderick Murray-Smith (University of Glasgow) .

Francesc Rullan (University College London)
Marta Betcke (University College London)
computed tomography, inverse problems