A Hybrid Multimodal Non-Rigid Registration of MR Images Based on Diffeomorphic Demons

Lu, Huanxiang; Cattin, Philippe C; Reyes, Mauricio (2010). A Hybrid Multimodal Non-Rigid Registration of MR Images Based on Diffeomorphic Demons. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2010 (pp. 5951-5954). IEEE 10.1109/IEMBS.2010.5627562

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n this paper we present a novel hybrid approach for multimodal medical image registration based on diffeomorphic demons. Diffeomorphic demons have proven to be a robust and efficient way for intensity-based image registration. A very recent extension even allows to use mutual information (MI) as a similarity measure to registration multimodal images. However, due to the intensity correspondence uncertainty existing in some anatomical parts, it is difficult for a purely intensity-based algorithm to solve the registration problem. Therefore, we propose to combine the resulting transformations from both intensity-based and landmark-based methods for multimodal non-rigid registration based on diffeomorphic demons. Several experiments on different types of MR images were conducted, for which we show that a better anatomical correspondence between the images can be obtained using the hybrid approach than using either intensity information or landmarks alone.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

UniBE Contributor:

Lu, Huanxiang and Reyes, Mauricio

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISBN:

978-1-4244-4123-5

Publisher:

IEEE

Language:

English

Submitter:

Mauricio Antonio Reyes Aguirre

Date Deposited:

04 Oct 2013 14:08

Last Modified:

08 Jun 2016 10:19

Publisher DOI:

10.1109/IEMBS.2010.5627562

PubMed ID:

21096946

Web of Science ID:

000287964006088

BORIS DOI:

10.7892/boris.563

URI:

https://boris.unibe.ch/id/eprint/563 (FactScience: 199772)

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