Voxel Similarity Measures for 3D Serial MR Brain Image Registration

from: IEEE Trans. Med. Imaging 19(2) pp. 92-102 (February, 2000)

Mark Holden, Derek L.G. Hill, Erika R. E. Denton¹ Jo M. Jarosz¹ Tim C. S. Cox² Torsten Rohlfing³ Joanne Goodey and David J. Hawkes

Radiological Sciences, GKT, Guy's Hospital, London, SE1 9RT, UK.

¹ Radiology Dept., King's College Hospital, London SE5 9RS, UK

² Institute of Neurology, UCL, Queen's Square, London WC1N 3BG, UK

³ Charité, Medical Faculty of Humboldt-University Berlin, Campus Virchow-Hospital, Department of Radiology, Augustenburger Platz 1, D-13353 Berlin, Germany

e-mail: mark.holden@kcl.ac.uk

Abstract

We have evaluated eight different similarity measures used for rigid body registration of serial MR brain scans. To assess their accuracy we used 33 clinical 3D serial MR images, with deformable extra-dural tissue excluded by manual segmentation, and simulated 3D MR images with added intensity distortion. For each measure we determined the consistency of registration transformations for both sets of segmented and unsegmented data. We have shown that of the 8 measures tested, the ones based on joint entropy produced the best consistency. In particular these measures seemed to be least sensitive to the presence of extra-dural tissue. For these data the difference in accuracy of these joint entropy measures, with or without brain segmentation, was within the threshold of visually detectable change in the difference images.

full paper from ieeexplore and Medline entry .

Mark Holden | Radiological Sciences.
Email: mark.holden@kcl.ac.uk Last modified: 4 May, 2001.