Ultrasound beam simulations in inhomogeneous tissue geometries using the hybrid angular spectrum method

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Publication Type pre-print
School or College College of Engineering
Department Bioengineering
Creator Christensen, Douglas A.
Other Author Vyas, Urvi
Title Ultrasound beam simulations in inhomogeneous tissue geometries using the hybrid angular spectrum method
Date 2012-01-01
Description The angular spectrum method is a fast, accurate and computationally efficient method for modeling wave propagation. However, the traditional angular spectrum method assumes that the region of propagation has homogenous properties. In this paper, the angular spectrum method is extended to calculate ultrasound wave propagation in inhomogeneous tissue geometries, important for clinical efficacy, patient safety, and treatment reliability in MR-guided focused ultrasound surgery. The inhomogeneous tissue region to be modeled is segmented into voxels, each voxel having a unique speed of sound, attenuation coefficient, and density. The pressure pattern in the 3-D model is calculated by alternating between the space domain and the spatial-frequency domain for each plane of voxels in the model. The new technique was compared with the finite-difference time-domain technique for a model containing attenuation, refraction, and reflection and for a segmented human breast model; although yielding essentially the same pattern, it results in a reduction in calculation times of at least two orders of magnitude.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 59
Issue 6
First Page 1093
Last Page 1100
Dissertation Institution University of Utah
Language eng
Bibliographic Citation Vyas, U., & Christensen, D. (2012). Ultrasound beam simulations in inhomogeneous tissue geometries using the hybrid angular spectrum method. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 59(6), no. 6217558, 1093-100.
Rights Management (c) [Year] IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 732,343 bytes
Identifier uspace,17599
ARK ark:/87278/s6n87vjb
Setname ir_uspace
Date Created 2012-08-28
Date Modified 2021-05-06
ID 708061
Reference URL https://collections.lib.utah.edu/ark:/87278/s6n87vjb
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