Abstract
The multiresolution approach is commonly used to speed up the mutual-information (MI) based registration process. Conventionally, a Gaussian pyramid is often used as a multiresolution representation. However, in multi-modal medical image registration, MI-based methods with Gaussian pyramid may suffer from the problem of short capture ranges especially at the lower resolution levels. This paper proposes a novel and straightforward multimodal image registration method based on wavelet representation, in which two matching criteria are used including sum of difference (SAD) for improving the registration robustness and MI for assuring the registration accuracy. Experimental results show that the proposed method obtains a longer capture range than the traditional MI-based Gaussian pyramid method meanwhile maintaining comparable accuracy.
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© 2004 Springer-Verlag Berlin Heidelberg
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Wu, J., Chung, A.C.S. (2004). Multimodal Brain Image Registration Based on Wavelet Transform Using SAD and MI. In: Yang, GZ., Jiang, TZ. (eds) Medical Imaging and Augmented Reality. MIAR 2004. Lecture Notes in Computer Science, vol 3150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28626-4_33
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DOI: https://doi.org/10.1007/978-3-540-28626-4_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22877-6
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