Comprehensive assessment of the condition of bone and muscle tissues using quantitative ultrasound (BoMUS)
Project No. Izp-2021/1-0290
The goal of the project is to explore the scientific basis of a new ultrasound technology (BoMUS) in order to comprehensively characterize the condition of bones and muscles in terms of tissue composition and structure.
Project collaboration partner: Riga Technical University.
The BoMUS technology is based on enhanced ultrasound signal processing obtained by scanning the human extremities using various acoustic modes and employing image recognition methods. Decision-making rules or multiple informative ultrasound indicators help assess the relevant factors of interest (FOIs) that determine the quality of bone and muscle tissues. FOIs include cortical thickness, porosity, and degree of mineralization for bone tissue, as well as lean muscle content, subcutaneous and intramuscular fat, and muscle edema. The key innovation lies in the multidimensional analysis of digital signal matrices at different ultrasound frequencies using elements of artificial intelligence. The integration of bone and muscle components into a comprehensive diagnostic system is particularly advantageous, considering the concept of bone-muscle relationships and their shared monitoring in aspects of aging, physical activity, immobilization, osteoporosis, and sarcopenia. BoMUS will overcome existing limitations of quantitative ultrasound and expand diagnostic capabilities. Project activities include experimental design, laboratory research, development of data processing, technology testing, and result dissemination. The outcomes will open up prospects for further research and development to achieve higher Technology Readiness Levels (TRL) and for commercialization efforts.
Bone and Muscle Ultrasonometer BoMUS
Demonstration of the Bone and Muscle Ultrasonometer BoMUS during the night of scientists 27.09.2024. Experimental complex developed at EDI within the LZP FLPP project lzp-2021/1-0290 “Comprehensive assessment of the condition of bone and muscle tissues using quantitative ultrasound” (BoMUS). Introduced by one of the project participants Mg.sc.ing. Dan Laksis.
Publications
V. Glushkov, N. V. Glushkova, O. A. Ermolenko and A. M. Tatarinov.. Extracting guided wave characteristics of bone phantoms from ultrasonometric data for osteoporosis diagnosis. 2022 Days on Diffraction (DD), IEEE, 2022. : https://doi.org/10.1109/DD55230.2022.9961013 (https://www.edi.lv/en/publications/extracting-guided-wave-characteristics-of-bone-phantoms-from-ultrasonometric-data-for-osteoporosis-diagnosis-2/)
Sisojevs, A.; Tatarinov, A. and Chaplinska, A. (2023). Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods – ICPRAM; ISBN 978-989-758-626-2; ISSN 2184-4313, SciTePress, pages 914-919. DOI: 10.5220/0011742800003411 (https://www.scitepress.org/PublishedPapers/2023/117428/)
Aleksejs Tatarinov*, Aleksandrs Sisojevs and Anastasija Chaplinska (2023). Pattern recognition based approach for extraction of factors of interest from ultrasonic data. In: International Workshop on Embedded Digital Intelligence (IWoEDI’2023), (https://events.edi.lv/iwoedi2023/wp-content/uploads/sites/2/2023/06/IWoEDI-2023-Pattern-recognition-algorithms-for-extraction-of-factors-of-interest-from-ultrasonic-data.pdf)
Chuchalina, M.; Sisojevs, A. and Tatarinov, A. (2024). Determination of Factors of Interest in Bone Models Based on Ultrasonic Data. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods – ICPRAM; ISBN 978-989-758-684-2; ISSN 2184-4313, SciTePress, pages 281-287. DOI: 10.5220/0012358500003654 (https://www.scitepress.org/PublicationsDetail.aspx?ID=z3HhxwvVLoI=&t=1)
Mironovs, V., Tatarinov, A., Abayev, A. and Zemchenkovs, V. (2024) Experimental system for investigating processes of shock freezing of meat. Agronomy Research, Vol. 22, Special Issue 1., pp. , 495–502, DOI: 10.15159/AR.24.038 (https://dspace.emu.ee/server/api/core/bitstreams/81cda952-d98a-4760-8a8d-053bb9fa496e/content )
Mamontovs M., Sisojevs A. and Tatarinov A. (2024). Bone porosity and thickness evaluation by ultrasonic signals using pattern recognition. In Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2024, Game and Entertainment Technologies 2024 and Computer Graphics, Visualization, Computer Vision and Image Processing 2024 – Part of the 18th Multi Conference on Computer Science and Information Systems 2024, Budapest, Hungary, 13 – 15 July 2024, pp. 200 – 204. ISBN: 978-989-8704-58-0
Laksis Dans, Tatarinovs Aleksejs, Freivalds Kārlis “Wavelet transform based decomposition of ultrasound signals for cortical bone model evaluation” EUSIPCO 2024 32nd EUROPEAN SIGNAL PROCESSING CONFERENCE, August 26-30, 2024. LYON, FRANCE. https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0001496.pdf
Presentations at international conferences:
Alexey Tatarinov*, Aleksandrs Sisojevs, Anastasia Chaplinska “Identification of Osteoporosis Diagnostic Signs in Cortical Bone Models Examined by Axial Transmission Ultrasound” QMSKI 13.06.2022. – 17.06. 2022. Noordwijk, Netherlands. https://qmski.org/.
Sisojevs, A.*, Tatarinov, A. and Chaplinska, A. ”Evaluation of Factors-of-Interest in Bone Mimicking Models Based on DFT Analysis of Ultrasonic Signals.”, 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM’2023), February 22 – 24, 2023, Lisbon, Portugal
Tatarinov, A.*, Aleksandrs Sisojevs A. and Chaplinska A. “Pattern recognition based approach for extraction of factors of interest from ultrasonic data”, International Workshop on Embedded Digital Intelligence (IWoEDI’2023), June 20 – 22 2023., Riga, Latvia.
Tatarinov*, J. Kuzmina, V. Mironovs “Estimation of possibility for differential ultrasonic assessment of fat and water contents in meat” 64th International Scientific Conference of RTU, October 12 – 17, 2023. Riga, Latvia. (https://www.rtu.lv/writable/public_files/RTU_1_book_1_rtu_konf_2023.pdf)
Chuchalina, M.*, Sisojevs, A. and Tatarinov, A. “Determination of Factors of Interest in Bone Models Based on Ultrasonic Data.” 13th International Conference on Pattern Recognition Applications and Methods, February 24-26, 2024, Rome, Italy.
Mamontovs M., Sisojevs A.* and Tatarinov A. “Bone porosity and thickness evaluation by ultrasonic signals using pattern recognition”. The International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP’2024) – Part of the 18th Multi Conference on Computer Science and Information Systems 2024, Budapest, Hungary, 13 – 15 July 2024.
Participating scientists
Mg.sc.ing. Dans Laksis
Former EDI research assistant
