University of Oulu

Omidali M, Mardanshahi A, Särestöniemi M, Zhao Z, Myllylä T. Acousto−Optics: Recent Studies and Medical Applications. Biosensors. 2023; 13(2):186.

Acousto−optics : recent studies and medical applications

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Author: Omidali, Mohammadreza1; Mardanshahi, Ali2; Särestöniemi, Mariella2,3;
Organizations: 1Optoelectronics and Measurement Techniques Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, 90570 Oulu, Finland
2Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, 90220 Oulu, Finland
3Center for Wireless Communications, University of Oulu, 90570 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2 MB)
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Language: English
Published: Multidisciplinary Digital Publishing Institute, 2023
Publish Date: 2023-05-02


Development of acousto−optic (AO) techniques has made progress in recent years across a range of medical application fields, especially in improving resolution, detection speed, and imaging depth. This paper presents a comprehensive overview of recent advancements in AO−based techniques that have been presented after the previously published review in 2017. The survey covers a description of theoretical modeling strategies and numerical simulation methods as well as recent applications in medical fields. It also provides a comparison between different techniques in terms of complexity, achieved depth in tissue, and resolution. In addition, a comparison between different numerical simulation methods will be outlined. Additionally, a number of challenges faced by AO techniques are considered, particularly in the context of realistic in vivo imaging. Finally, the paper discusses prospects of AO−based medical diagnosis methods.

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Series: Biosensors
ISSN: 2079-6374
ISSN-E: 2079-6374
ISSN-L: 2079-6374
Volume: 13
Issue: 2
Article number: 186
DOI: 10.3390/bios13020186
Type of Publication: A2 Review article in a scientific journal
Field of Science: 217 Medical engineering
Funding: This research was funded by Infotech Oulu, 6GESS Research Programme and Academy of Finland (grant 318347).
Academy of Finland Grant Number: 318347
Detailed Information: 318347 (Academy of Finland Funding decision)
Copyright information: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (