EconPapers    
Economics at your fingertips  
 

Nonlinear Medical Ultrasound Tomography: 3D Modeling of Sound Wave Propagation in Human Tissues

Maxim Shishlenin, Andrey Kozelkov and Nikita Novikov ()
Additional contact information
Maxim Shishlenin: Institute of Computational Mathematics and Mathematical Geophysics, 630090 Novosibirsk, Russia
Andrey Kozelkov: Russian Federal Nuclear Center, All-Russian Research Institute of Experimental Physics, 607188 Sarov, Russia
Nikita Novikov: Institute of Computational Mathematics and Mathematical Geophysics, 630090 Novosibirsk, Russia

Mathematics, 2024, vol. 12, issue 2, 1-14

Abstract: The article aimed to show the fundamental possibility of constructing a computational digital twin of the acoustic tomograph within the framework of a unified physics–mathematical model based on the Navier–Stokes equations. The authors suggested that the size of the modeling area is quite small, sound waves are waves of “small” disturbance, and given that a person consists of more than 60% water, human organs can be modeled using a liquid model, taking into account their density. During numerical experiments, we obtained the pressure registered in the receivers that are located on the side walls of the tomograph. The differences in pressure values are shown depending on the configuration of inclusions in the mannequin imitating internal organs. The results show that the developed technology can be used to probe the human body in medical acoustic tomographs and determine the acoustic parameters of the human body to detect neoplasms.

Keywords: nonlinear acoustics; acoustic tomography; ultrasound; Navier–Stokes equations (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/2/212/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/2/212/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:2:p:212-:d:1315440

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:212-:d:1315440