Voxel Similarity Measures for 3D Serial MR Brain Image Registration
16-th International Conference on Information
Processing in Medical Imaging pp. 472-477 (June, 1999)
Derek L.G. Hill,
Erika R. E. Denton¹
Jo M. Jarosz¹
Tim C. S. Cox²
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
We investigated 7 different similarity measures for
rigid body registration of serial MR brain scans.
To assess their accuracy we used a set of 33 clinical 3D serial MR
images, manually segmented by a radiologist to remove
deformable extra-dural tissue, and also simulated brain
For each measure we determined the consistency of registration
transformations for both sets of segmented and unsegmented data.
The difference images produced by registration with
and without segmentation were visually inspected by two
radiologists in a blinded study.
We have shown that of the measures tested, those based on joint
entropy produced the best consistency and seemed least sensitive to the
presence of extra-dural tissue.
For this 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
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