KEYWORDS: Image registration, Ultrasonography, Data modeling, Error analysis, Motion estimation, 3D image processing, 3D modeling, 3D metrology, Motion models, Transducers
Current ultrasound methods for measuring myocardial strain are often limited to measurements in one or two
dimensions. Spatio-temporal elastic registration of 3D cardiac ultrasound data can however be used to estimate
the 3D motion and full 3D strain tensor. In this work, the spatio-temporal elastic registration method was
validated for both non-scanconverted and scanconverted images. This was done using simulated 3D pyramidal
ultrasound data sets based on a thick-walled deforming ellipsoid and an adapted convolution model. A B-spline
based frame-to-frame elastic registration method was applied to both the scanconverted and non-scanconverded
data sets and the accuracy of the resulting deformation fields was quantified. The mean accuracy of the estimated
displacement was very similar for the scanconverted and non-scanconverted data sets and thus, it was shown
that 3D elastic registration to estimate the cardiac deformation from ultrasound images can be performed on
non-scanconverted images, but that avoiding of the scanconversion step does not significantly improve the results
of the displacement estimation.
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