Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Multi-modal diffeomorphic demons registration based on point-wise mutual information
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
 
ID 4605202
Author(s) Lu, H.; Reyes, M.; Šerifović, A.; Weber, S.; Sakurai, Y.; Yamagata, H.; Cattin, Ph. C.
Author(s) at UniBasel Cattin, Philippe Claude
Year 2010
Title Multi-modal diffeomorphic demons registration based on point-wise mutual information
Book title (Conference Proceedings) IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Place of Conference Rotterdam, Netherlands
Publisher IEEE
Pages 372-375
ISSN/ISBN 1945-7928 ; 1945-8452 ; 978-1-4244-4125-9
Abstract In this paper we propose a variational approach for multimodal image registration based on the diffeomorphic demons algorithm. Diffeomorphic demons has proven to be a robust and efficient way for intensity-based image registration. However, the main drawback is that it cannot deal with multiple modalities. We propose to replace the standard demons similarity metric (image intensity differences) by point-wise mutual information (PMI) in the energy function. By comparing the accuracy between our PMI based diffeomorphic demons and the B-Spline based free-form deformation approach (FFD) on simulated deformations, we show the proposed algorithm performs significantly better.
edoc-URL https://edoc.unibas.ch/78935/
Full Text on edoc No
Digital Object Identifier DOI 10.1109/ISBI.2010.5490333
 
   

MCSS v5.8 PRO. 0.361 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
01/05/2024