Noncontact holographic detection for photoacoustic tomography

Christian Buj*, Michael Münter, Benedikt Schmarbeck, Jens Horstmann, Gereon Hüttmann, Ralf Brinkmann

*Corresponding author for this work
12 Citations (Scopus)

Abstract

A holographic method for high-speed, noncontact photoacoustic tomography is introduced and evaluated. Relative changes of the object's topography, induced by the impact of thermoelastic pressure waves, were determined at nanometer sensitivity without physical contact. The object's surface was illuminated with nanosecond laser pulses and imaged with a high-speed CMOS camera. From two interferograms measured before and after excitation of the acoustic wave, surface displacement was calculated and then used as the basis for a tomographic reconstruction of the initial pressure caused by optical absorption. The holographic detection scheme enables variable sampling rates of the photoacoustic signal of up to 50 MHz. The total acquisition times for complete volumes with 230 MVoxel is far below 1 s. Measurements of silicone and porcine skin tissue phantoms with embedded artificial absorbers, which served as a model for human subcutaneous vascular networks, were possible. Three-dimensional reconstructions of the absorbing structures show details with a diameter of 310μm up to a depth of 2.5 mm. Theoretical limitations and the experimental sensitivity, as well as the potential for in vivo imaging depending on the detection repetition rate, are analyzed and discussed.

Original languageEnglish
Article number106007
JournalJournal of Biomedical Optics
Volume22
Issue number10
ISSN1083-3668
DOIs
Publication statusPublished - 01.10.2017

Funding

This work was funded by the German Federal Ministry of Education and Research in the project OptoAk and LUMEN (FKZ 13EZ1140A/B, FKZ 13N12533). LUMEN is a joint research project of Lübeck University of Applied Sciences and Universität zu Lübeck and represents a branch of the Graduate School for Computing in Medicine and Life Sciences of Universität zu Lübeck. We also want to thank Prof. Dr. Botterweck (Lübeck University of Applied Sciences) for the use of the μCT system.

Research Areas and Centers

  • Academic Focus: Biomedical Engineering

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