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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (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.

Original languageEnglish
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)978-1-4799-2374-8
Publication statusPublished - 23 Jul 2015
Externally publishedYes
Event12th IEEE International Symposium on Biomedical Imaging (ISBI 2015) - Brooklyn, United States
Duration: 16 Apr 201519 Apr 2015
Conference number: 12


Conference12th IEEE International Symposium on Biomedical Imaging (ISBI 2015)
Abbreviated titleISBI 2015
Country/TerritoryUnited States


  • deformable
  • groupwise
  • head and neck
  • Motion compensation
  • multimodality registration


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