Voxel Similarity Measures for 3D Serial MR Brain Image Registration
IEEE Trans. Med. Imaging 19(2) pp. 92-102 (February, 2000)
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
³ Charité, Medical Faculty of Humboldt-University Berlin,
Campus Virchow-Hospital, Department of Radiology, Augustenburger Platz
1, D-13353 Berlin, Germany
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
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Mark Holden |
firstname.lastname@example.org Last modified: 4 May, 2001.