Improvement of optoacoustic angiographic images using one-dimensional deconvolution with adaptive real-time self-calibration

E. M. Timanin; Тиманин Е. М.; I. S. Mikhailova; Михайлова И. С.; I. I. Fiks; Фикс И. И.; A. A. Kurnikov; Курников А. А.; A. V. Kovalchuk; Ковальчук А. В.; A. G. Orlova; Орлова А. Г.; O. A. Ugarova; Угарова О. А.; M. Frenz; Frenz M.; M. Jaeger; Jaeger M.; P. V. Subochev; Субочев П. В.

doi:10.31857/S0320791923600750

Improvement of optoacoustic angiographic images using one-dimensional deconvolution with adaptive real-time self-calibration

Authors: Timanin E.M.¹, Mikhailova I.S.¹, Fiks I.I.¹, Kurnikov A.A.¹, Kovalchuk A.V.¹, Orlova A.G.¹, Ugarova O.A.¹, Frenz M.², Jaeger M.², Subochev P.V.¹
Affiliations:
1. Institute of Applied Physics, Russian Academy of Sciences, Nizhny Novgorod, 603155 Russia
2. Institute of Applied Physics, University of Bern, Bern, 53012 Switzerland
Issue: Vol 69, No 6 (2023)
Pages: 800-807
Section: АКУСТИКА ЖИВЫХ СИСТЕМ. БИОМЕДИЦИНСКАЯ АКУСТИКА
URL: https://journals.rcsi.science/0320-7919/article/view/233408
DOI: https://doi.org/10.31857/S0320791923600750
EDN: https://elibrary.ru/CPLOMZ
ID: 233408

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Abstract
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Abstract

This work introduces a method of one-dimensional deconvolution with Tikhonov regularization for enhancing three-dimensional optoacoustic images in vivo. The method employs adaptive self-calibration to eliminate frequency-dependent distortions associated with ultrasound propagation and detection. By adapting to the inhomogeneous frequency characteristics of the examined medium, the method eliminates the need for additional calibration experiments. The processing time for three-dimensional optoacoustic data of size 200x200x100 voxels is less than 5 ms, facilitating the real-time enhancement of angiographic images and improving the effective spatial resolution by more than 50%.

Keywords

optoacoustic imaging, image enhancement, inverse convolution method, Tikhonov regularization

References

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https://github.com/photoacousticsRU/TRDeconv