GPU implementation of photoacoustic short-lag spatial coherence imaging for improved image-guided interventions.

ABSTRACT:

Significance

Photoacoustic-based visual servoing is a promising technique for surgical tool tip tracking and automated visualization of photoacoustic targets during interventional procedures. However, one outstanding challenge has been the reliability of obtaining segmentations using low-energy light sources that operate within existing laser safety limits.

Aim

We developed the first known graphical processing unit (GPU)-based real-time implementation of short-lag spatial coherence (SLSC) beamforming for photoacoustic imaging and applied this real-time algorithm to improve signal segmentation during photoacoustic-based visual servoing with low-energy lasers.

Approach

A 1-mm-core-diameter optical fiber was inserted into ex vivo bovine tissue. Photoacoustic-based visual

SUBMITTER: Gonzalez EA 

PROVIDER: S-EPMC7381831 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature