@Article{CiCP-24-764,
author = {Yao Sun, Zhen Yuan and Huaibei Jiang},
title = {Enhancing Mesh-Based Photoacoustic Tomography with Parallel Computing on Multiprocessor Scheme},
journal = {Communications in Computational Physics},
year = {2018},
volume = {24},
number = {3},
pages = {764--773},
abstract = {<p style="text-align: justify;">Photoacoustic tomography is an emerging technique in biomedicine that is
capable of visualizing high resolution structural and functional information of tissue
up to several centimeters deep. Mesh based numerical reconstruction algorithms have
an unrivaled advantage over other reconstruction algorithms in photoacoustic imaging,
due to its accurate mathematical modeling and the capability to recover multiple
optical/acoustic parameters in the reconstruction. However, the slow reconstruction
speed and huge memory cost hindered this advanced reconstruction algorithm
from application areas where large scale reconstruction or real/near-real time reconstruction
is required, for example, sub-millimeter or micrometer resolution imaging,
photoacoustic guided cancer treatment, etc. In this study, we reported a high performance
photoacoustic tomography method based on parallel computing strategy with
multiprocessor scheme. Our simulation result has shown that the parallelized photoacoustic
tomography method using multiprocessor scheme is capable of providing
fine reconstructed images of blood vessel structures up to 0.14mm in diameter. Further
phantom experiment demonstrated that cross hairs can be clearly reconstructed,
when a mesh comprised of 28512 triangle finite elements is used. Therefore, our multiprocessor
based parallelized photoacoustic tomography might be promising for large
scale reconstruction or real/near-real time reconstruction in biomedical application of
mesh-based photoacoustic tomography algorithm.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2017-0086},
url = {http://global-sci.org/intro/article_detail/cicp/12279.html}
}