High intensity focused ultrasound (HIFU) has been heavily investigated over the past two decades for treating a wide range of diseases and medical conditions. As a non-invasive surgical modality that can reach deep tissues, HIFU has the potential to revolutionize therapy. A versatile and fast yet sufficiently accurate ultrasound numerical model is vital for HIFU. Such a numerical model could serve as a powerful platform for in-depth investigation of HIFU and as a springboard for clinical translation of HIFU techniques. Some specific applications include testing new sonication protocols, understanding the mechanism of certain HIFU techniques, and rapid treatment planning. Two common HIFU techniques exist: they are the thermal based HIFU technique and shock wave based HIFU technique. While the first type uses relatively low pressure continuous wave (CW) and primarily causes thermal coagulation, the second type uses high pressure shock wave pulses to cause mechanical fractionation of tissue. To this date, no model can efficiently and accurately model these two types of HIFU in three-dimensional (3D) large-scale, complex, heterogeneous biological tissue. In the proposed research, we shall address a longstanding need in the HIFU community for a novel, accuracy- efficiency balanced numerical model.
In Aim 1, we shall create a versatile, accuracy-efficiency balanced algorithm for HIFU modeling. By considering tissue heterogeneities in the Westervelt equation, a modified wave- vector-frequency-domain (M-WVFD) method for predicting linear/nonlinear wave fields in arbitrarily heterogeneous media will be systematically investigated for the first time. The resulting model is expected to be at least two orders of magnitude faster than the state-of-the-art ?accurate? models and still have high accuracy.
In Aim 2, the M-WVFD method will be numerically and experimentally validated by investigating a variety of HIFU problems. The experiments will involve both phantom and ex-vivo human skulls in order to investigate wave propagation in weakly and strongly heterogeneous media.
Aim 3 shall focus on software engineering, so that the developed algorithms can be integrated into an open-source software package and can be widely adopted by the HIFU community.

Public Health Relevance

Numerical modeling is vital in high intensity focused ultrasound (HIFU) research. It helps researchers better understand ultrasound and improve methodologies in therapeutic ultrasound. This project will develop an accuracy-efficiency balanced model, which can be utilized to study a wide range of problems, such as treatment planning, HIFU device design, and acoustic field characterization for existing HIFU transducers.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB025205-02
Application #
9636570
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
King, Randy Lee
Project Start
2018-02-01
Project End
2020-12-31
Budget Start
2019-01-01
Budget End
2019-12-31
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
North Carolina State University Raleigh
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
042092122
City
Raleigh
State
NC
Country
United States
Zip Code
27695