@inproceedings{caa634c2dce4459f88e6232f6687d8bd,
title = "Realtime parallel back-projection algorithm for three-dimensional optoacoustic imaging devices",
abstract = "Back-projection algorithms are probably the fastest approach to reconstruct an image from a set of optoacoustic (photoacoustic) data set. However, standard implementations of back-projection formulae are still not adequate for real-time (greater than 5 frames per second) visualization of three-dimensional structures. This is due to the fact that the number of voxels one needs to reconstruct in three-dimensions is orders of magnitude larger than the number of pixels in two dimensions. Herein we describe a parallel implementation of optoacoustic signal processing and back-projection reconstruction in an attempt to achieve real-time visualization of structures with three-dimensional optoacoustic tomographic systems. For this purpose, the parallel computation power of a graphics processing unit (GPU) is utilized. The GPU is programmed with OpenCL, a programming language for heterogenous platforms. We showcase that with the implementation suggested in this work imaging at frame rates up to 50 high-resolution three-dimensional images per second is achievable.",
keywords = "GPU acceleration, Optoacoustic tomography, Parallel back-projection algorithm, Photoacoustic tomography",
author = "Ali Ozbek and Dean-Ben, {X. L.} and Daniel Razansky",
year = "2013",
doi = "10.1117/12.2033376",
language = "English",
isbn = "9780819496461",
series = "Optics InfoBase Conference Papers",
publisher = "Optical Society of America (OSA)",
booktitle = "European Conference on Biomedical Optics, ECBO 2013",
note = "European Conference on Biomedical Optics, ECBO 2013 ; Conference date: 12-05-2013 Through 16-05-2013",
}