A new combined surface and volume registration
Leporé, N., Joshi, A. A., Leahy, R. M., Brun, C., Chou, Y. Y., Pennec, X., Lee, A. D., Barysheva, M., De Zubicaray, G. I., Wright, M. J., McMahon, K. L., Toga, A. W., & Thompson, P. M. (2010) A new combined surface and volume registration. In Dawant, Benoit M. & Haynor, David R. (Eds.) Proceedings of SPIE: Medical Imaging 2010 Image Processing, SPIE, San Diego, USA, 76231E-76231E.
3D registration of brain MRI data is vital for many medical imaging applications. However, purely intensitybased approaches for inter-subject matching of brain structure are generally inaccurate in cortical regions, due to the highly complex network of sulci and gyri, which vary widely across subjects. Here we combine a surfacebased cortical registration with a 3D fluid one for the first time, enabling precise matching of cortical folds, but allowing large deformations in the enclosed brain volume, which guarantee diffeomorphisms. This greatly improves the matching of anatomy in cortical areas. The cortices are segmented and registered with the software Freesurfer. The deformation field is initially extended to the full 3D brain volume using a 3D harmonic mapping that preserves the matching between cortical surfaces. Finally, these deformation fields are used to initialize a 3D Riemannian fluid registration algorithm, that improves the alignment of subcortical brain regions. We validate this method on an MRI dataset from 92 healthy adult twins. Results are compared to those based on volumetric registration without surface constraints; the resulting mean templates resolve consistent anatomical features both subcortically and at the cortex, suggesting that the approach is well-suited for cross-subject integration of functional and anatomic data.
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|Item Type:||Conference Paper|
|Keywords:||brain, image analysis, image registration, Magnetic Resonance Imaging|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2010 Copyright SPIE|
|Deposited On:||12 Nov 2015 23:12|
|Last Modified:||02 Dec 2015 04:17|
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