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Proceedings Paper

Evaluation of moving least squares as a technique for non-rigid medical image registration
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Paper Abstract

This paper evaluates the performance of two non-rigid image registration techniques. The moving least squares (MLS) technique is compared to the more common thin-plate spline (TPS) method. Both methods interpolate a set of fiducial points in registering two images. An attractive feature of the MLS method is that it seeks to minimize local scaling and shearing, producing a global transformation that is as rigid as possible. The MLS and TPS techniques are applied to twoand three-dimensional medical images. Both qualitative and quantitative comparisons are presented. The two techniques are quantitatively evaluated by computing target registration errors (TREs) at selected points of interest. Our results indicate that the MLS algorithm performs better than the TPS method with lower TRE values and visually better registered images, indicating that MLS may be a better candidate for registration tasks when rigid registration is insufficient but the deformation field is sought to be minimal.

Paper Details

Date Published: 27 March 2009
PDF: 11 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592I (27 March 2009); doi: 10.1117/12.811740
Show Author Affiliations
Vijayalakshmi Sathyanarayanan, Vanderbilt Univ. (United States)
Robert E. Bodenheimer, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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