Efficient 3-D Model-Based Reconstruction Scheme for Arbitrary Optoacoustic Acquisition Geometries

IEEE Transactions on Medical Imaging
Lu DingDaniel Razansky

Abstract

Optimal optoacoustic tomographic sampling is often hindered by the frequency-dependent directivity of ultrasound sensors, which can only be accounted for with an accurate 3-D model. Herein, we introduce a 3-D model-based reconstruction method applicable to optoacoustic imaging systems employing detection elements with arbitrary size and shape. The computational complexity and memory requirements are mitigated by introducing an efficient graphic processing unit (GPU)-based implementation of the iterative inversion. On-the-fly calculation of the entries of the model-matrix via a small look-up table avoids otherwise unfeasible storage of matrices typically occupying more than 300GB of memory. Superior imaging performance of the suggested method with respect to standard optoacoustic image reconstruction methods is first validated quantitatively using tissue-mimicking phantoms. Significant improvements in the spatial resolution, contrast to noise ratio and overall 3-D image quality are also reported in real tissues by imaging the finger of a healthy volunteer with a hand-held volumetric optoacoustic imaging system.

Citations

Feb 1, 2019·Journal of Biophotonics·Benedict Mc LarneyDaniel Razansky
Jun 1, 2019·PloS One·Melanie A KimmMoritz Wildgruber
Jul 26, 2019·Physics in Medicine and Biology·Xosé Luís Deán-Ben, Daniel Razansky
Jan 1, 2018·Optica·Ali ÖzbekDaniel Razansky
Nov 22, 2018·Biomedical Optics Express·Amir Rosenthal
Mar 7, 2019·Light, Science & Applications·X Luís Dean-Ben, Daniel Razansky
Dec 19, 2020·Molecular Imaging·Mucong LiJunjie Yao
Nov 5, 2021·Proceedings of the National Academy of Sciences of the United States of America·Çağla ÖzsoyDaniel Razansky

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