Literature DB >> 22087896

Extension of the angular spectrum method to calculate pressure from a spherically curved acoustic source.

Urvi Vyas1, Douglas A Christensen.   

Abstract

The angular spectrum method is an accurate and computationally efficient method for modeling acoustic wave propagation. The use of the typical 2D fast Fourier transform algorithm makes this a fast technique but it requires that the source pressure (or velocity) be specified on a plane. Here the angular spectrum method is extended to calculate pressure from a spherical transducer-as used extensively in applications such as magnetic resonance-guided focused ultrasound surgery-to a plane. The approach, called the Ring-Bessel technique, decomposes the curved source into circular rings of increasing radii, each ring a different distance from the intermediate plane, and calculates the angular spectrum of each ring using a Fourier series. Each angular spectrum is then propagated to the intermediate plane where all the propagated angular spectra are summed to obtain the pressure on the plane; subsequent plane-to-plane propagation can be achieved using the traditional angular spectrum method. Since the Ring-Bessel calculations are carried out in the frequency domain, it reduces calculation times by a factor of approximately 24 compared to the Rayleigh-Sommerfeld method and about 82 compared to the Field II technique, while maintaining accuracies of better than 96% as judged by those methods for cases of both solid and phased-array transducers.

Mesh:

Year:  2011        PMID: 22087896     DOI: 10.1121/1.3621717

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  4 in total

1.  Passive Acoustic Mapping with the Angular Spectrum Method.

Authors:  Costas D Arvanitis; Calum Crake; Nathan McDannold; Gregory T Clement
Journal:  IEEE Trans Med Imaging       Date:  2016-12-21       Impact factor: 10.048

2.  Angular spectrum method for curvilinear arrays: Theory and application to Fourier beamforming.

Authors:  Rehman Ali; Jeremy Dahl
Journal:  JASA Express Lett       Date:  2022-05-13

3.  Virtual craniotomy for high-resolution optoacoustic brain microscopy.

Authors:  Héctor Estrada; Xiao Huang; Johannes Rebling; Michael Zwack; Sven Gottschalk; Daniel Razansky
Journal:  Sci Rep       Date:  2018-01-23       Impact factor: 4.379

4.  MR thermometry for focused ultrasound monitoring utilizing model predictive filtering and ultrasound beam modeling.

Authors:  Henrik Odéen; Scott Almquist; Joshua de Bever; Douglas A Christensen; Dennis L Parker
Journal:  J Ther Ultrasound       Date:  2016-09-22
  4 in total

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