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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.