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Object Segmentation and Markov Random Fields Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Non-rigid registration using free-form deformations

Authors : D. Rueckert, P. Aljabar

Published in: Handbook of Biomedical Imaging

Publisher: Springer US

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Abstract

Free-form deformations are a powerful geometric modeling technique which can be used to represent complex 3D deformations. In recent years, free-form deformations have gained significant popularity in algorithms for the non-rigid registration of medical images. In this chapter we show how free-form deformations can be used in non-rigid registration to model complex local deformations of 3D organs. In particular, we discuss diffeomorphic and non-diffeomorphic representations of 3D deformation fields using free-form deformations as well as different penalty functions that can be used to constrain the deformation fields during the registration. We also show how free-form deformations can be used in combination with mutual information-based similarity metrics for the registration of mono-modal and multi-modal medical images. Finally, we discuss applications of registration techniques based on free-form deformations for the analysis of images of the breast, heart and brain as well as for segmentation and shape modelling.

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previous chapter Monte Carlo Sampling for the Segmentation of Tubular Structures
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Metadata
Title
Non-rigid registration using free-form deformations
Authors
D. Rueckert
P. Aljabar
Copyright Year
2015
Publisher
Springer US
Book
Handbook of Biomedical Imaging

Print ISBN: 978-0-387-09748-0

Electronic ISBN: 978-0-387-09749-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-0-387-09749-7_15

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