Paper
27 February 2009 Radial basis function strain estimator
Marvin M. Doyley, David Manegold, Minh Q. Phan
Author Affiliations +
Abstract
Elastography is an emerging imaging modality that can visualize breast tumors via their tissue elasticity and strain properties. Computing strain elastograms by taking the first-order derivative of axial displacement images has a limitation, however; this method will amplify displacement measurement errors that, in turn, will degrade the quality of the strain elastograms. To overcome this limitation, we describe a novel spatial-filtering approach that involves fitting dimensionally increasing, multi-resolution radial basis functions (RBFs) to the displacement field. The results of experiments conducted on an elastically heterogeneous phantom revealed three important observations. Firstly, excessive filtering occurred when spatial filtering was performed using a firstorder radial basis function, to the extent that it was not always possible to discern high-contrast elastic inclusions in the resulting strain elastogram. Secondly, artifacts were incurred when spatial filtering was performed using the high-resolution first-order basis function. Thirdly, second-order basis functions improved our ability to discern lesions in strain elastograms, but this was highly dependent on the resolution of the basis function we employed. More specifically, we achieved better visibility using the low-resolution second-order basis functions, and lower visibility using the high-resolution basis functions. It was concluded that the radial-basis-function strain-estimation method performed sufficiently well to warrant more in-depth studies.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marvin M. Doyley, David Manegold, and Minh Q. Phan "Radial basis function strain estimator", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621I (27 February 2009); https://doi.org/10.1117/12.817138
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tissues

Spatial resolution

Image filtering

Visibility

Spatial filters

Breast

Composites

Back to Top