Optimizing Doppler Ultrasound Parameters: The Study of Insonation Angle, PRF, and Dynamic Range in Blood Flow Assessment
DOI:
https://doi.org/10.25077/jif.17.1.53-62.2025Keywords:
Doppler Ultrasound , Pulse Repetition Frequency (PRF), Nyquist Velocity, Dynamic Range , AliasingAbstract
Doppler ultrasound is critical in medical diagnostics for evaluating blood flow and detecting vascular conditions. Accurate blood flow velocity measurements depend on insonation angle, Pulse Repetition Frequency (PRF), and dynamic range. This study optimizes these parameters to enhance Doppler ultrasound performance and diagnostic accuracy. A Xario-100 ultrasound machine and the Doppler 403TM flow phantom were used to evaluate the effects of insonation angle, PRF, and dynamic range on measurement accuracy. Insonation angles of 0o and 60o were tested to assess their impact on aliasing and precision. At 0o, significant aliasing occurred, while 90o, aliasing was minimized. PRF settings were adjusted from 14,000 Hz to 17,900 Hz, with higher PRF extending the Nyquist Velocity from 9.8 cm/s to 37.4 cm/s, reducing aliasing and improving high-flow measurement clarity in the dynamic range from 30 dB to 60 dB, with optimal contrast observed at 50 dB. Histogram analysis revealed a balanced pixel intensity distribution at 50 dB, enhancing the Signal-to-Noise Ratio (SNR). The findings demonstrate an insonation angle of 60o, at PRF 17,900 Hz, and a dynamic range of 50 dB optimal Doppler ultrasound performance. Standardizing these parameters can improve diagnostic accuracy, supporting better patient outcomes in clinical practice.
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References
Alhussein, M. (2024). Use of Real-Time Remote Tele-mentored Ultrasound Echocardiography for Cardiovascular Disease Diagnosis in Adults: A Systematic Review. Ultrasound in Medicine & Biology, 50(6), 779–787. https://doi.org/10.1016/j.ultrasmedbio.2024.01.073
Azhari, H. (2012). Ultrasound: Medical Imaging and Beyond (An Invited Review). Current Pharmaceutical Biotechnology, 13(11), 2104–2116. https://doi.org/10.2174/138920112802502033
Browne, J. E. (2014). A review of Doppler ultrasound quality assurance protocols and test devices. Physica Medica, 30(7), 742–751. https://doi.org/10.1016/j.ejmp.2014.08.003
Campbell, K. A., Kupinski, A. M., Miele, F. R., Silva, P. F., & Zierler, R. E. (2021). Changes in Internal Carotid Artery Doppler Velocity Measurements With Different Angles of Insonation. Journal of Ultrasound in Medicine, 40(9), 1937–1948. https://doi.org/10.1002/jum.15579
Ekroll, I. K., Swillens, A., Segers, P., Dahl, T., Torp, H., & Lovstakken, L. (2013). Simultaneous quantification of flow and tissue velocities based on multi-angle plane wave imaging. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 60(4), 727–738. https://doi.org/10.1109/TUFFC.2013.2621
Fish, P. J. (1999). Ultrasonic investigation of blood flow. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 213(3), 169–180. https://doi.org/10.1243/0954411991534898
Gauthier, T. P., Averkiou, M. A., & Leen, E. L. S. (2011). Perfusion quantification using dynamic contrast-enhanced ultrasound: The impact of dynamic range and gain on time-intensity curves. Ultrasonics, 51(1), 102–106. https://doi.org/10.1016/j.ultras.2010.06.004
Gittins, J., & Martin, K. (2010). The Leicester Doppler Phantom—A Digital Electronic Phantom for Ultrasound Pulsed Doppler System Testing. Ultrasound in Medicine & Biology, 36(4), 647–655. https://doi.org/10.1016/j.ultrasmedbio.2010.01.003
Goldstein, A. (1991). Performance tests of Doppler ultrasound equipment with a string phantom. Journal of Ultrasound in Medicine, 10(3), 125–139. https://doi.org/10.7863/jum.1991.10.3.125
Grazhdani, H., David, E., Ventura Spagnolo, O., Buemi, F., Perri, A., Orsogna, N., Gigli, S., & Chimenz, R. (2018). Quality assurance of ultrasound systems: current status and review of literature. Journal of Ultrasound, 21(3), 173–182. https://doi.org/10.1007/s40477-018-0304-7
Grice, J. V., Pickens, D. R., & Price, R. R. (2016). Technical Note: A new phantom design for routine testing of Doppler ultrasound. Medical Physics, 43(7), 4431–4434. https://doi.org/10.1118/1.4954205
Hoyos, C. V., Stuart, M. B., & Jensen, J. A. (2014). Increasing the dynamic range of synthetic aperture vector flow imaging. In J. G. Bosch & M. M. Doyley (Eds.), SPIE 9040, Medical Imaging 2014 (pp. 111–112). Ultrasonic Imaging and Tomography. https://doi.org/10.1117/12.2043637
Iacob, R., Iacob, E. R., Stoicescu, E. R., Ghenciu, D. M., Cocolea, D. M., Constantinescu, A., Ghenciu, L. A., & Manolescu, D. L. (2024). Evaluating the role of breast ultrasound in early detection of breast cancer in low-and middle-income countries: A comprehensive narrative review. Bioengineering, 11(3), 262–282. https://doi.org/10.3390/bioengineering11030262
Jackson, S. J., & Russell, S. (2019). A precise, reproducible method for measuring ultrasound probe slice thickness using a Gammex 403 phantom. Ultrasound, 27(3), 148–155. https://doi.org/10.1177/1742271X19830742
Jawli, A., Aldehani, W., & Nabi, G. (2024). Tissue-Mimicking Material Fabrication and Properties for Multiparametric Ultrasound Phantoms : A Systematic Review. Bioengineering, 11(6), 620–635. https://doi.org/10.3390/bioengineering11060620
Karaböce, B., & Durmuş, H. O. (2024). Verification of Ultrasound Imaging Phantoms: An Evaluation Study. In A. Badnjević & L. Gurbeta Pokvić (Eds.), MEDICON CMBEBIH 2023 (pp. 120–131). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49068-2_14
Lentz, B., Fong, T., Rhyne, R., & Risko, N. (2021). A systematic review of the cost-effectiveness of ultrasound in emergency care settings. The Ultrasound Journal, 13(16), 1–9. https://doi.org/10.1186/s13089-021-00216-8
Logason, K., Bärlin, T., Jonsson, M.-L., Boström, A., Hårdemark, H. G., & Karacagil, S. (2001). The Importance of Doppler Angle of Insonation on Differentiation Between 50–69% and 70–99% Carotid Artery Stenosis. European Journal of Vascular and Endovascular Surgery, 21(4), 311–313. https://doi.org/10.1053/ejvs.2001.1331
Martins, M. R., Martins, W. P., Soares, C. A. M., Miyague, A. H., Kudla, M. J., & Pavan, T. Z. (2018). Understanding the Influence of Flow Velocity, Wall Motion Filter, Pulse Repetition Frequency, and Aliasing on Power Doppler Image Quantification. Journal of Ultrasound in Medicine, 37(1), 255–261. https://doi.org/10.1002/jum.14338
Meiburger, K. M., Seoni, S., & Matrone, G. (2020). Automatic Dynamic Range Estimation for Ultrasound Image Visualization and Processing. 2020 IEEE International Ultrasonics Symposium (IUS), 1–4. https://doi.org/10.1109/IUS46767.2020.9251470
Mencarelli, M., Puggelli, L., Virga, A., Furferi, R., & Volpe, Y. (2024). Acoustic velocity and stability of tissue-mimicking echogenic materials for ultrasound training phantoms. Journal of Materials Science, 59(15), 6509–6524. https://doi.org/10.1007/s10853-024-09610-8
Niederer, P. F. (2010). Ultrasound imaging and Doppler flow velocity measurement. Studies in Health Technology and Informatics, 18(3), 245–265. https://doi.org/10.3233/THC-2010-0587
Oglat, A. A. (2022). Performance Evaluation of an Ultrasonic Imaging System Using Tissue-Mimicking Phantoms for Quality Assurance. Biomimetics, 7(3), 130–157. https://doi.org/10.3390/biomimetics7030130
Okada, Y., Kanno, N., Bhatti, A., Ishii, T., & Saijo, Y. (2023). Robust flow vector estimation for echocardiography with extended Nyquist velocity using dual-PRF approach: a flow phantom study. Japanese Journal of Applied Physics, 62(SJ1033). https://doi.org/10.35848/1347-4065/acbda6
Paverd, C., Martin, A., Rominger, M., & Ruby, L. (2024). Assessment of Ultrasound Image Quality in a Reference Phantom Using Gel and Liquid Standoff Pads. WFUMB Ultrasound Open, 2(2), 100051–100062. https://doi.org/10.1016/j.wfumbo.2024.100051
Phani, D., Varadarajulu, R. K., Paramanick, A., Paul, S., Paramu, R., Zacharia, G., Shaiju, V. S., Muraleedharan, V., Suheshkumar Singh, M., & Nair, R. K. (2024). Development and validation of a gel wax phantom to evaluate geometric accuracy and measurement of a hyperechoic target diameter in diagnostic ultrasound imaging. Physical and Engineering Sciences in Medicine, 47(1), 261–272. https://doi.org/10.1007/s13246-023-01362-0
Polak, J. F. (1995). Peripheral arterial disease: evaluation with color flow and duplex sonography. Radiologic Clinics of North America, 33(1), 71–90. https://doi.org/10.1016/S0033-8389(22)00563-2
Revzin, M. V., Imanzadeh, A., Menias, C., Pourjabbar, S., Mustafa, A., Nezami, N., Spektor, M., & Pellerito, J. S. (2019). Optimizing Image Quality When Evaluating Blood Flow at Doppler US: A Tutorial. RadioGraphics, 39(5), 1501–1523. https://doi.org/10.1148/rg.2019180055
Rindal, O. M. H., Austeng, A., Fatemi, A., & Rodriguez-Molares, A. (2019). The Effect of Dynamic Range Alterations in the Estimation of Contrast. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 66(7), 1198–1208. https://doi.org/10.1109/TUFFC.2019.2911267
Russ, M. K., Lafata, N. M., Robertson, S. H., & Samei, E. (2023). Pulsed wave Doppler ultrasound: Accuracy, variability, and impact of acquisition parameters on flow measurements. Medical Physics, 50(11), 6704–6713. https://doi.org/10.1002/mp.16774
Shung, K. K. (2011). Diagnostic ultrasound: Past, present, and future. Journal of Medical and Biological Engineering, 31(6), 371–374. https://doi.org/10.5405/jmbe.871
Sultan, S. R., Alghamdi, A., Abdeen, R., & Almutairi, F. (2022). Evaluation of ultrasound point shear wave elastography reliability in an elasticity phantom. Ultrasonography, 41(2), 291–297. https://doi.org/10.14366/usg.21114
Sun Nuclear Corporation. (2020). Doppler 403TM & Mini-Doppler 1430TM Flow Phantoms Reliable, Reproducible System Velocity Testing. Sun Nuclear Corporation, 3–5.
Tsang, A. C. O., Lai, S. S. M., Chung, W. C., Tang, A. Y. S., Leung, G. K. K., Poon, A. K. K., Yu, A. C. H., & Chow, K. W. (2015). Blood flow in intracranial aneurysms treated with Pipeline embolization devices: computational simulation and verification with Doppler ultrasonography on phantom models. Ultrasonography, 34(2), 98–108. https://doi.org/10.14366/usg.14063
Yang, D. X. D., & El Gamal, A. (1999). Comparative analysis of SNR for image sensors with enhanced dynamic range. Sensors, Cameras, and Systems for Scientific/Industrial Applications, 197–211. https://doi.org/10.1117/12.347075
Zhou, X., Kenwright, D. A., Wang, S., Hossack, J. A., & Hoskins, P. R. (2017). Fabrication of Two Flow Phantoms for Doppler Ultrasound Imaging. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 64(1), 53–65. https://doi.org/10.1109/TUFFC.2016.2634919
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Copyright (c) 2025 Sri Oktamuliani, Takuro Ishii, Yoshifumi Saijo

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