Huynh, N;
Lucka, F;
Zhang, E;
Betcke, M;
Arridge, S;
Beard, P;
Cox, B;
(2017)
Sub-sampled Fabry-Perot photoacoustic scanner for fast 3D imaging.
In: Oraevsky, AA and Wang, LV, (eds.)
Photons Plus Ultrasound: Imaging and Sensing 2017: Proceedings.
(pp. 100641Y-1-100641Y-5).
Society of Photo-Optical Instrumentation Engineers (SPIE)
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Abstract
The planar Fabry Perot (FP) photoacoustic scanner provides exquisite high resolution 3D images of soft tissue structures for sub-cm penetration depths. However, as the FP sensor is optically addressed by sequentially scanning an interrogation laser beam over its surface, the acquisition speed is low. To address this, a novel scanner architecture employing 8 interrogation beams and an optimised sub-sampling framework have been developed that increase the data acquisition speed significantly. With a 200Hz repetition rate excitation laser, full 3D images can be obtained within 10 seconds. Further increases in imaging speed with only minor decreases in image quality can be obtained by applying sub-sampling techniques with rates as low as 12.5%. This paper shows 3D images reconstructed from sub-sampled data for an ex vivo dataset, and results from a dynamic phantom imaging experiment.
| Type: | Proceedings paper |
|---|---|
| Title: | Sub-sampled Fabry-Perot photoacoustic scanner for fast 3D imaging |
| Event: | SPIE BiOS 2017: Photons Plus Ultrasound: Imaging and Sensing 201728 January - 2 February 2017, San Francisco, California, United States |
| Location: | San Francisco, CA |
| Dates: | 29 January 2017 - 01 February 2017 |
| ISBN-13: | 9781510605701 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2250868 |
| Publisher version: | http://dx.doi.org/10.1117/12.2250868 |
| Language: | English |
| Additional information: | This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Photoacoustic tomography, Fabry Perot sensor, compressed sensing |
| 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/1562838 |
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