Numerical Modeling of Transcranial Ultrasound

I. B. Petrov (), A. V. Vasyukov, K. A. Beklemysheva (), A. S. Ermakov, A. O. Kazakov, Y. V. Vassilevski, V. Y. Salamatova, A. A. Danilov, G. K. Grigoriev and N. S. Kulberg
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I. B. Petrov: Moscow Institute of Physics and Technology
A. V. Vasyukov: Moscow Institute of Physics and Technology
K. A. Beklemysheva: Moscow Institute of Physics and Technology
A. S. Ermakov: Moscow Institute of Physics and Technology
A. O. Kazakov: Moscow Institute of Physics and Technology
Y. V. Vassilevski: Institute of Numerical Mathematics of the RAS
V. Y. Salamatova: Institute of Numerical Mathematics of the RAS
A. A. Danilov: Institute of Numerical Mathematics of the RAS
G. K. Grigoriev: MGTS Medical and Health Center
N. S. Kulberg: Moscow Scientific and Practical Center of Medical Radiology

A chapter in Trends in Biomathematics: Modeling, Optimization and Computational Problems, 2018, pp 209-217 from Springer

Abstract: Abstract Correct diagnostics of vascular pathologies underlies treatment success for patients with cerebrovascular diseases. Generally, ultrasound is a well-known method for diagnostics of vascular diseases among other things, and it can determine the direction of blood flow. Despite the high sensitivity of the method, transcranial ultrasound has some limitations due to complex shape and rheological contrast of the skull bone (Vassilevsky et al., Russ J Numer Anal Math Model 31(5):317–328, 2016). Overcoming these limitations can improve the quality of the diagnostic procedure, and the mathematical modeling of the transcranial ultrasound can be an effective tool to enhance the ultrasound examination. The present work addresses the numerical simulation of ultrasound propagation in a human head. A human tissue-mimicking phantom was used to verify the numerical model and the software package. A model for the signal processing in the ultrasound device was developed. Pressure distributions were obtained within a 3D segmented model of a human head (Danilov et al., Russ J Numer Anal Math Model 27:431–440, 2012; Danilov et al., J Phys Conf Series 407(1):02004, 2012).

Date: 2018
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DOI: 10.1007/978-3-319-91092-5_14

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