Estimating the properties of bone phantom cylinders through the inversion of axially transmitted low-frequency ultrasonic guided waves
Early detection of osteoporosis has increasingly focused on ultrasonic methods, particularly guided waves in axial transmission to assess cortical bone properties. This study demonstrates the potential of low-frequency measurements (<500 kHz) for accurately inferring cortical mechanical and geome...
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| Published in | Ultrasonics Vol. 155; p. 107694 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier B.V
01.11.2025
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| Online Access | Get full text |
| ISSN | 0041-624X 1874-9968 1874-9968 |
| DOI | 10.1016/j.ultras.2025.107694 |
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| Abstract | Early detection of osteoporosis has increasingly focused on ultrasonic methods, particularly guided waves in axial transmission to assess cortical bone properties. This study demonstrates the potential of low-frequency measurements (<500 kHz) for accurately inferring cortical mechanical and geometrical properties. A custom ultrasonic transducer centered at 350 kHz was used to acquire data, processed via a 2D fast Fourier transform to obtain dispersion curves. These were compared with simulations generated using the semi-analytical iso-geometric analysis (SAIGA) method, modeling a quasi-cylindrical bone geometry in void or immersed in olive oil. By incorporating an excitability parameter into the inversion algorithm, the proposed method achieved a less than 5% discrepancy between bone phantom properties determined via SAIGA inversion and bulk wave pulse-echo measurements, demonstrating its accuracy and potential for in vivo applications. Results also showed that high-wavenumber modes predominantly reflect material properties, whereas low-wavenumber modes below 100 kHz are sensitive to the overall bone geometry, highlighting the importance of low frequencies for a global bone characterization.
•Assessment of bone phantom properties using low-frequency (under 500 kHz) ultrasonic guided waves.•Implementation of SAIGA-based inversion method.•Inversion algorithm focused on high amplitude modes.•Accurate estimation of bone phantom properties in scenario simulating in-vivo conditions. |
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| AbstractList | Early detection of osteoporosis has increasingly focused on ultrasonic methods, particularly guided waves in axial transmission to assess cortical bone properties. This study demonstrates the potential of low-frequency measurements (<500 kHz) for accurately inferring cortical mechanical and geometrical properties. A custom ultrasonic transducer centered at 350 kHz was used to acquire data, processed via a 2D fast Fourier transform to obtain dispersion curves. These were compared with simulations generated using the semi-analytical iso-geometric analysis (SAIGA) method, modeling a quasi-cylindrical bone geometry in void or immersed in olive oil. By incorporating an excitability parameter into the inversion algorithm, the proposed method achieved a less than 5% discrepancy between bone phantom properties determined via SAIGA inversion and bulk wave pulse-echo measurements, demonstrating its accuracy and potential for in vivo applications. Results also showed that high-wavenumber modes predominantly reflect material properties, whereas low-wavenumber modes below 100 kHz are sensitive to the overall bone geometry, highlighting the importance of low frequencies for a global bone characterization. Early detection of osteoporosis has increasingly focused on ultrasonic methods, particularly guided waves in axial transmission to assess cortical bone properties. This study demonstrates the potential of low-frequency measurements (<500 kHz) for accurately inferring cortical mechanical and geometrical properties. A custom ultrasonic transducer centered at 350 kHz was used to acquire data, processed via a 2D fast Fourier transform to obtain dispersion curves. These were compared with simulations generated using the semi-analytical iso-geometric analysis (SAIGA) method, modeling a quasi-cylindrical bone geometry in void or immersed in olive oil. By incorporating an excitability parameter into the inversion algorithm, the proposed method achieved a less than 5% discrepancy between bone phantom properties determined via SAIGA inversion and bulk wave pulse-echo measurements, demonstrating its accuracy and potential for in vivo applications. Results also showed that high-wavenumber modes predominantly reflect material properties, whereas low-wavenumber modes below 100 kHz are sensitive to the overall bone geometry, highlighting the importance of low frequencies for a global bone characterization.Early detection of osteoporosis has increasingly focused on ultrasonic methods, particularly guided waves in axial transmission to assess cortical bone properties. This study demonstrates the potential of low-frequency measurements (<500 kHz) for accurately inferring cortical mechanical and geometrical properties. A custom ultrasonic transducer centered at 350 kHz was used to acquire data, processed via a 2D fast Fourier transform to obtain dispersion curves. These were compared with simulations generated using the semi-analytical iso-geometric analysis (SAIGA) method, modeling a quasi-cylindrical bone geometry in void or immersed in olive oil. By incorporating an excitability parameter into the inversion algorithm, the proposed method achieved a less than 5% discrepancy between bone phantom properties determined via SAIGA inversion and bulk wave pulse-echo measurements, demonstrating its accuracy and potential for in vivo applications. Results also showed that high-wavenumber modes predominantly reflect material properties, whereas low-wavenumber modes below 100 kHz are sensitive to the overall bone geometry, highlighting the importance of low frequencies for a global bone characterization. Early detection of osteoporosis has increasingly focused on ultrasonic methods, particularly guided waves in axial transmission to assess cortical bone properties. This study demonstrates the potential of low-frequency measurements (<500 kHz) for accurately inferring cortical mechanical and geometrical properties. A custom ultrasonic transducer centered at 350 kHz was used to acquire data, processed via a 2D fast Fourier transform to obtain dispersion curves. These were compared with simulations generated using the semi-analytical iso-geometric analysis (SAIGA) method, modeling a quasi-cylindrical bone geometry in void or immersed in olive oil. By incorporating an excitability parameter into the inversion algorithm, the proposed method achieved a less than 5% discrepancy between bone phantom properties determined via SAIGA inversion and bulk wave pulse-echo measurements, demonstrating its accuracy and potential for in vivo applications. Results also showed that high-wavenumber modes predominantly reflect material properties, whereas low-wavenumber modes below 100 kHz are sensitive to the overall bone geometry, highlighting the importance of low frequencies for a global bone characterization. •Assessment of bone phantom properties using low-frequency (under 500 kHz) ultrasonic guided waves.•Implementation of SAIGA-based inversion method.•Inversion algorithm focused on high amplitude modes.•Accurate estimation of bone phantom properties in scenario simulating in-vivo conditions. |
| ArticleNumber | 107694 |
| Author | Haiat, Guillaume Bélanger, Pierre Nguyen, Vu-Hieu Chaboty, Aubin |
| Author_xml | – sequence: 1 givenname: Aubin orcidid: 0000-0002-2681-3339 surname: Chaboty fullname: Chaboty, Aubin email: aubin.chaboty.1@ens.etsmtl.ca organization: PULETS, École de Technologie Supérieure, Montréal, H3C 1K3, Québec, Canada – sequence: 2 givenname: Vu-Hieu orcidid: 0000-0003-1959-9087 surname: Nguyen fullname: Nguyen, Vu-Hieu organization: MSME, CNRS, UMR 8208, Université Paris Est Créteil, Université Gustave Eiffel, F-94010 Créteil, France – sequence: 3 givenname: Guillaume orcidid: 0000-0003-1724-9083 surname: Haiat fullname: Haiat, Guillaume organization: MSME, CNRS, UMR 8208, F-94010 Créteil, France – sequence: 4 givenname: Pierre orcidid: 0000-0002-7469-4696 surname: Bélanger fullname: Bélanger, Pierre organization: PULETS, École de Technologie Supérieure, Montréal, H3C 1K3, Québec, Canada |
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| Keywords | SAIGA method Low-frequency ultrasonic guided waves Axial transmission Cortical bone Inversion algorithm |
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| SubjectTerms | Algorithms Axial transmission Bone and Bones - diagnostic imaging Cortical bone Fourier Analysis Humans Inversion algorithm Low-frequency ultrasonic guided waves Phantoms, Imaging SAIGA method Transducers Ultrasonic Waves Ultrasonography - methods |
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| Title | Estimating the properties of bone phantom cylinders through the inversion of axially transmitted low-frequency ultrasonic guided waves |
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