Applicability of Non-Rigid Medical Image Registration using Moving Least Squares
نویسنده
چکیده
A drawback of the non-rigid registration is its unpredictable nature of the deformation on the target image. Mapping every point on images can cause deformations even to regions, which are expected to remain rigid. A non-rigid registration is desirable that produces only local deformations where needed, while still preserving the overall rigidity. This work focuses on one such method called the Moving Least Squares (MLS) transformation and compares the results with Thin Plate Splines (TPS). An intensity based non-rigid registration algorithm is applied apriory, if the input medical images are from two different patients in order to facilitate for the selection of homologous control points in them. We compare the performance of both the techniques by calculating the Target Registration Error (TRE) at certain points and results are encouraging.
منابع مشابه
EVALUATION OF MOVING LEAST SQUARES AS A TECHNIQUE FOR NON- RIGID MEDICAL IMAGE REGISTRATION By
ACKNOWLEDGEMENTS I would like to thank my advisor Dr. Robert E. Bodenheimer for giving me the opportunity to work with him and also for guiding me through the course of my thesis work. I would also like to thank Dr. Benoit Dawant for helping me shape my work and giving valuable suggestions which helped complete this thesis. Last but not the least, I would like to express my thanks to my family ...
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