Abstract
Registration is a fundamental task in image processing used to match two or more images or datasets obtained at different times, from different devices or from different subjects. Basically, it consists in finding the geometrical transform that aligns these datasets into a unique coordinate space. In medical applications, image registration is of special interest since it allows us to integrate complementary information in a single dataset. The integration of information from different imaging modalities is difficult and, in most cases, dependent on the data we have to deal with. In Figure 2.1 two multimodal images ((a) Computerized Tomography (CT) and (b) Magnetic Resonance (MR) Imaging) are shown. Figures 2.1(c) and 2.1(d) show the fused images resulting from the direct combination (before the registration process) and from the combination after the registration process, respectively
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© 2014 Springer Nature Switzerland AG
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Feixas, M., Bardera, A., Rigan, J., Sbert, M., Xu, Q. (2014). Image Registration. In: Information Theory Tools for Image Processing. Synthesis Lectures on Computer Graphics and Animation. Springer, Cham. https://doi.org/10.1007/978-3-031-79555-8_2
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DOI: https://doi.org/10.1007/978-3-031-79555-8_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-79554-1
Online ISBN: 978-3-031-79555-8
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