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Click to download PDF version Click to download BibTeX data Clik to view abstract L. Itti, L. Chang, J. F. Mangin, J. Darcourt, T. Ernst, Robust multimodality registration for brain mapping, Human Brain Mapping, Vol. 5, No. 1, pp. 3-17, 1997. [1998 impact factor: 4.738] (Cited by 66)

Abstract: We present a robust intrasubject registration method for the synergistic use of multiple neuroimaging modalities, with applications to magnetic resonance imaging (MRI), functional MRI, perfusion MRI, MR spectroscopy, and single-photon emission computed tomography (SPECT). This method allows user-friendly processing of difficult examinations (low spatial resolution, advanced pathology, motion during acquisition, and large areas of focal activation). Registration of three-dimensional (3D) brain scans is initially estimated by first-order moment matching, followed by iterative anisotrophic chamfer matching of brain surfaces. Automatic brain surface extraction is performed in all imaging modalities. A new generalized distance definition and new specific methodologies allow registration of scans that cover only a limited range of brain surface. A new semiautomated supervision scheme allows fast and intuitive corrections of possible false automatic registration results. The accuracy of the MRI/SPECT anatomical-functional correspondence obtained was evaluated using simulations and two difficult clinical populations (tumors and degenerative brain disorders). The average discrimination capability of SPECT (12.4 mm in-plane resolution, 20 mm slice thickness) was found to be better than 5 mm after registration with MRI (5 mm slice thickness). Registration accuracy was always better than imaging resolution. Complete 3D MRI and SPECT registration time ranged between 6-11 min, in which surface matching represented 2-3 min. No registration failure occurred. In conclusion, the application of several new image processing techniques allowed efficient and robust registration.

Keywords: multimodality registration ; neuroimaging ; brain ; chamfer matching ; brain surface ; image processing

Themes: Medical Image Processing


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