Groupwise image registration of multimodal head-and-neck images

Jean-Marie Guyader, Wyke Huizinga, Valerio Fortunati, Jifke F. Veenland, Margarethus M. Paulides, Wiro J. Niessen, Stefan Klein

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)


Fusion of multimodal medical images using deformable registration is of high interest for head-and-neck tumour treatment planning. In this context, more than two images often have to be aligned for a given patient. The conventional, pairwise way to register multiple images is to select one of them as fixed reference and independently align each remaining image with it. An alternative method would be to simultaneously register the images using a groupwise registration scheme, thus eliminating the need to select a reference image and avoiding any bias due to this arbitrary choice. In this study, we propose a novel groupwise image registration technique, combining a principal component analysis (PCA) based similarity metric and modality independent neighbourhood descriptors (MIND). Results on 16 patients show that the images are slightly better aligned when using the proposed registration method than when using pairwise registration.

Originele taal-2Engels
Titel2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's4
ISBN van elektronische versie978-1-4799-2374-8
StatusGepubliceerd - 23 jul 2015
Extern gepubliceerdJa
Evenement12th IEEE International Symposium on Biomedical Imaging (ISBI 2015) - Brooklyn, Verenigde Staten van Amerika
Duur: 16 apr 201519 apr 2015
Congresnummer: 12


Congres12th IEEE International Symposium on Biomedical Imaging (ISBI 2015)
Verkorte titelISBI 2015
Land/RegioVerenigde Staten van Amerika


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