Faster Algorithms for Photoacoustic Microscopy

Industrial Collaboration with B. Braun leads to a publication in Biomedical Optics Express

 
3D reconstruction of a thread embedded in a turbid tissue-like medium using the new algorithm
 
Photoacoustic imaging (PAI) is a 3D non-invasive biomedical imaging technique based on light energy deposition and absorption when tissues are irradiated with a short light pulse. Photoacoustic microscopy (PAM) is used for imaging embedded surgical materials in tissues and has allowed for unprecedented in vivo imaging of the microvasculature as deep as 2-3 mm below the tissue surface.

The Medical Optics group led by Prof. Turgut Durduran, in collaboration with B. Braun, has developed an algorithm for photoacoustic imaging microscopy capable of reducing dramatically the memory size needed for the reconstruction of a 3D grid from experimental data.

The results, which have been published in Biomedical Optics Express, show that the algorithm is capable of processing and reconstructing a photoacoustic 3D image in an acceptable practical timescale and with the use of a standard personal computer, allowing for rapid analysis.

 Link to the paper
 Research Group led by Prof. Durduran
 B. Braun
 L4H Program