Title: A fast convolution-based methodology to simulate 2-D/3-D cardiac ultrasound images
Authors: Gao, Hang ×
Choi, Hon Fai
Claus, Piet
Boonen, Steven
Jaecques, Siegfried
van Lenthe, Harry
Van der Perre, Georges
Lauriks, Walter
D'hooge, Jan #
Issue Date: Feb-2009
Series Title: IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control vol:56 issue:2 pages:404-409
Abstract: This paper describes a fast convolution-based methodology for simulating ultrasound images in a 2-D/3-D sector format as typically used in cardiac ultrasound. The conventional convolution model is based on the assumption of a space-invariant point spread function (PSF) and typically results in linear images. These characteristics are not representative for cardiac data sets. The spatial impulse response method (IRM) has excellent accuracy in the linear domain; however, calculation time can become an issue when scatterer numbers become significant and when 3-D volumetric data sets need to be computed. As a solution to these problems, the current manuscript proposes a new convolution-based methodology in which the data sets are produced by reducing the conventional 2-D/3-D convolution model to multiple 1-D convolutions (one for each image line). As an example, simulated 2-D/3-D phantom images are presented along with their gray scale histogram statistics. In addition, the computation time is recorded and contrasted to a commonly used implementation of IRM (Field II). It is shown that COLE can produce anatomically plausible images with local Rayleigh statistics but at improved calculation time (1200 times faster than the reference method).
ISSN: 0885-3010
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Cardiovascular Imaging and Dynamics
Biomechanics Section
Soft Matter and Biophysics
Gerontology and Geriatrics
× corresponding author
# (joint) last author

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