Open AccessA low memory cost model based reconstruction algorithm exploiting translational symmetry for photoacustic microscopy
Author(s) -
Juan Aguirre,
Alexia Giannoula,
Taisuke Minagawa,
Lutz Funk,
Pau Turón,
Turgut Durdurán
Publication year - 2013
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.4.002813
Subject(s) - computer science , algorithm , microscopy , matrix (chemical analysis) , iterative reconstruction , computational science , computer vision , artificial intelligence , optics , physics , materials science , composite material
A model based reconstruction algorithm that exploits translational symmetries for photoacoustic microscopy to drastically reduce the memory cost is presented. The memory size needed to store the model matrix is independent of the number of acquisitions at different positions. This helps us to overcome one of the main limitations of previous algorithms. Furthermore, using the algebraic reconstruction technique and building the model matrix "on the fly", we have obtained fast reconstructions of simulated and experimental data on both two- and three-dimensional grids using a traditional dark field photoacoustic microscope and a standard personal computer.