Related Experiment Video
Updated: May 17, 2026

05:57
Blood Flow Imaging with Ultrafast Doppler
Published on: October 14, 2020
Fast simulation of non-linear pulsed ultrasound fields using an angular spectrum approach
Yigang Du1, Jørgen Arendt Jensen
1Center for Fast Ultrasound Imaging, Department of Electrical Engineering, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark. yigang1982@gmail.com
Ultrasonics
|November 13, 2012
Summary
A new simulation method significantly speeds up non-linear pulsed ultrasound field calculations. This angular spectrum approach (ASA) offers a 140x speed increase with high accuracy for advanced ultrasound imaging.
Area of Science:
- Acoustics
- Medical Imaging
- Computational Physics
Background:
- Non-linear ultrasound propagation is crucial for advanced imaging techniques.
- Existing numerical methods for simulating non-linear ultrasound fields are computationally intensive.
- Accurate simulation of pulsed non-linear ultrasound is essential for transducer design and performance evaluation.
Purpose of the Study:
- To develop and validate a fast, non-linear pulsed ultrasound field simulation method.
- To enhance the computational efficiency of non-linear ultrasound simulations.
- To enable accurate modeling of complex array transducer behavior in non-linear regimes.
Main Methods:
- Implementation of a non-linear wave equation solver based on the angular spectrum approach (ASA).
- Analytical derivation of the ASA solution to the Westervelt equation for non-linear acoustics.
- Integration of the ASA with Field II software for simulating arbitrary array transducers and excitation signals.
- Comparison of ASA simulation results against a numerical operator splitting method (OSM) based program (Abersim).
Main Results:
- The ASA method achieved a speed increase of approximately 140 times compared to numerical methods.
- Simulation of a 5MHz, 2-cycle pulsed ultrasound field at the focal point took only 12 minutes on a standard PC.
- The non-linear ASA demonstrated high accuracy, with a full width error of 1.5% at -6dB and 6.4% at -12dB for the second harmonic point spread function compared to Abersim.
- The simulation accurately modeled pulsed non-linear ultrasound fields for complex transducer geometries.
Conclusions:
- The developed non-linear ASA provides a significantly faster and accurate alternative for simulating pulsed ultrasound fields.
- This method can accelerate the design and optimization of ultrasound systems, particularly for non-linear imaging applications.
- The ASA's efficiency and accuracy make it a valuable tool for research in medical ultrasound and acoustics.
Related Concept Videos
NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences
A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
Aliasing
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Bandpass Sampling
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
