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Colorectal MRI image registration using phase mutual information from non-parametric probability density function estimator

Abstract:

We propose a nonrigid registration algorithm and apply it to align pre- and post-chemotherapy colorectal MRI images. The algorithm combines feature-based and intensity-based image registration methods. We use local phase, as computed by monogenic signal, as the feature descriptor, and as the similarity measure in the registration algorithm, phase mutual information, which is estimated using NP windows, a non-parametric probability density function (PDF) estimator. Local deformations are model...

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Publication status:
Published

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Publisher copy:
10.1109/ISBI.2008.4541193

Authors


Pages:
1103-1106
Publication date:
2008-01-01
DOI:
ISSN:
1945-7928
URN:
uuid:f47853a0-1702-45dd-8261-31ee4f33506a
Source identifiers:
65047
Local pid:
pubs:65047
ISBN:
978-1-4244-2002-5

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