Bewick, JAJ;
Munro, PRT;
Arridge, SR;
Guggenheim, JA;
(2023)
A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping.
In:
Photons Plus Ultrasound: Imaging and Sensing 2023.
SPIE: San Francisco, CA, US.
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Abstract
Photoacoustic (PA) wavefront shaping (WFS; PAWS) could allow focusing light deep in living tissue, increasing the penetration depth of biomedical optics techniques. PAWS experiments have demonstrated focusing light through rigid scattering media. However, focusing deep in tissue is significantly more challenging. To examine the scale of this challenge, a computational model of the propagation of coherent light in tissue was developed to simulate the focusing of light via PAWS. To demonstrate the model, it was used to simulate focusing in an 800 µm thick tissue-like medium. To show the utility of the model, the focusing was repeated in different conditions illustrative of simplified PAWS experiments involving different spatial resolutions. As expected, a finer spatial resolution led to a brighter focus. By providing a simulation platform for studying PAWS, this work could pave the way to developing systems that can focus light in tissue.
| Type: | Proceedings paper |
|---|---|
| Title: | A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping |
| Event: | SPIE BiOS 2023 |
| Location: | San Francisco, California, United States |
| Dates: | 28 Jan 2023 - 3 Feb 2023 |
| ISBN-13: | 9781510658639 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2656075 |
| Publisher version: | https://doi.org/10.1117/12.2656075 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Wavefront shaping, photoacoustic imaging, computational simulation, T-matrix, scattering, biological tissue |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10171476 |
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