Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published March 2020 | Accepted Version + Published
Journal Article Open

Iterative image reconstruction in transcranial photoacoustic tomography based on the elastic wave equation


Photoacoustic computed tomography (PACT) is an emerging computed imaging modality that exploits optical contrast and ultrasonic detection principles to form images of the photoacoustically induced initial pressure distribution within tissue. The PACT reconstruction problem corresponds to a time-domain inverse source problem, where the initial pressure distribution is recovered from the measurements recorded on an aperture outside the support of the source. A major challenge in transcranial PACT of the brain is to compensate for aberrations and attenuation in the measured data due to the propagation of the photoacoustic wavefields through the skull. To properly account for these effects, a wave equation-based inversion method can be employed that can model the heterogeneous elastic properties of the medium. In this study, an optimization-based image reconstruction method for 3D transcranial PACT is developed based on the elastic wave equation. To accomplish this, a forward-adjoint operator pair based on a finite-difference time-domain discretization of the elastic wave equation is utilized to compute penalized least squares estimates of the initial pressure distribution. Computer-simulation and experimental studies are conducted to investigate the robustness of the reconstruction method to model mismatch and its ability to effectively resolve cortical and superficial brain structures.

Additional Information

© 2020 Institute of Physics and Engineering in Medicine. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 6 November 2019; Accepted 14 January 2020; Accepted Manuscript online 14 January 2020; Published 2 March 2020. This work was supported in part by National Institutes of Health Grants R01 NS102213, U01 NS099717 and 5T32EB01485505.

Attached Files

Published - Poudel_2020_Phys._Med._Biol._65_055009.pdf

Accepted Version - nihms-1579521.pdf


Files (7.6 MB)
Name Size Download all
2.7 MB Preview Download
4.9 MB Preview Download

Additional details

August 19, 2023
October 19, 2023