RADIAL BASIS FUNCTION INTERPOLATION FOR 3-D ULTRASOUND
Rohling, R., Gee, A. and Berman, L.
July 1998
3-D freehand ultrasound imaging produces a set of irregularly spaced B-scans, which are typically reconstructed on a regular grid for visualisation and data analysis. Most standard reconstruction algorithms are designed to minimise computational requirements and do not exploit the underlying shape of the data. We investigate whether approximation with splines holds any promise as a better reconstruction method. A radial basis function (RBF) approximation method is implemented and compared with three standard methods. The RBF's are shown to accommodate both dense, overlapping data and sparse data, without introducing the kind of reconstruction artifacts common with the standard methods. The other potential advantages of RBF's, such as the direct computation of derivatives, make further investigation worthwhile.
If you have difficulty viewing files that end '.gz',
which are gzip compressed, then you may be able to find
tools to uncompress them at the gzip
web site.
If you have difficulty viewing files that are in PostScript, (ending
'.ps' or '.ps.gz'), then you may be able to
find tools to view them at
the gsview
web site.
We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.