Nonrigid image registration using conditional mutual information

Authors:
Dirk Loeckx;Pieter Slagmolen;Frederik Maes;Dirk Vandermeulen;Paul Suetens
Affiliations:
Medical Image Computing, Faculties of Medicine and Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Leuven, Belgium;Med. Image Comp., Faculties of Med. and Eng., Katholieke Universiteit Leuven, Univ. Hospital Gasthuisberg, Belgium and Dept. of Radiation Oncoloy, Fac. of Medicine, Katholieke Universiteit Leuven, ...;Medical Image Computing, Faculties of Medicine and Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Leuven, Belgium;Medical Image Computing, Faculties of Medicine and Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Leuven, Belgium;Medical Image Computing, Faculties of Medicine and Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Leuven, Belgium
Venue:
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Year:
2007

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Abstract

We propose conditional mutual information (cMI) as a new similarity measure for nonrigid image registration. We start from a 3D joint histogram incorporating, besides the reference and floating intensity dimensions, also a spatial dimension expressing the location of the joint intensity pair in the reference image. cMI is calculated as the expectation value of the conditional mutual information between the reference and floating intensities given the spatial distribution. Validation experiments were performed comparing cMI and global MI on artificial CT/MR registrations and registrations complicated with a strong bias field; both a Parzen window and generalised partial volume kernel were used for histogram construction. In both experiments, cMI significantly outperforms global MI. Moreover, cMI is compared to global MI for the registration of three patient CT/MR datasets, using overlap and centroid distance as validation measure. The best results are obtained using cMI.