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Non-rigid Diffeomorphic Image Registration of Medical Images Using Polynomial Expansion

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Názov: Non-rigid Diffeomorphic Image Registration of Medical Images Using Polynomial Expansion
Autori: Forsberg, Daniel, Andersson, Mats, Knutsson, Hans
Zdroj: Image Analysis and Recognition Lecture Notes in Computer Science. :304-312
Predmety: Computer science, Computer software, Artificial intelligence, Computer graphics, Computer vision, Optical pattern recognition, Image Processing and Computer Vision, Pattern Recognition, Algorithm Analysis and Problem Complexity, Information Systems Applications
Popis: The use of polynomial expansion in image registration has previously been shown to be beneficial due to fast convergence and high accuracy. However, earlier work has only briefly out-lined how non-rigid image registration is handled, e.g. not discussing issues like regularization of the displacement field or how to accumulate the displacement field. In this work, it is shown how non-rigid image registration based upon polynomial expansion can be integrated into a generic framework for non-rigid image registration achieving diffeomorphic displacement fields. The proposed non-rigid image registration algorithm using diffeomorphic field accumulation is evaluated on both synthetically deformed data and real image data and compared to additive field accumulation. The results clearly demonstrate the power of the diffeomorphic field accumulation.
Popis súboru: electronic
Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78969
Databáza: SwePub
Popis
Abstrakt:The use of polynomial expansion in image registration has previously been shown to be beneficial due to fast convergence and high accuracy. However, earlier work has only briefly out-lined how non-rigid image registration is handled, e.g. not discussing issues like regularization of the displacement field or how to accumulate the displacement field. In this work, it is shown how non-rigid image registration based upon polynomial expansion can be integrated into a generic framework for non-rigid image registration achieving diffeomorphic displacement fields. The proposed non-rigid image registration algorithm using diffeomorphic field accumulation is evaluated on both synthetically deformed data and real image data and compared to additive field accumulation. The results clearly demonstrate the power of the diffeomorphic field accumulation.
ISSN:03029743
DOI:10.1007/978-3-642-31298-4_36