A new combined surface and volume registration

Lepore, Natasha, Joshi, Anand A., Leahy, Richard M., Brun, Caroline, Chou, Yi-Yu, Pennec, Xavier, Lee, Agatha D., Barysheva, Marina, de Zubicaray, Greig I., Wright, Margaret J., McMahon, Katie L., Toga, Arthur W. and Thompson, Paul M. (2010). A new combined surface and volume registration. In: Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Medical Imaging 2010: Image Processing, San Diego, CA, United States, (76231E-1-76231E-9). 13-18 Feburary 2010. doi:10.1117/12.844434

Author Lepore, Natasha
Joshi, Anand A.
Leahy, Richard M.
Brun, Caroline
Chou, Yi-Yu
Pennec, Xavier
Lee, Agatha D.
Barysheva, Marina
de Zubicaray, Greig I.
Wright, Margaret J.
McMahon, Katie L.
Toga, Arthur W.
Thompson, Paul M.
Title of paper A new combined surface and volume registration
Conference name Medical Imaging 2010: Image Processing
Conference location San Diego, CA, United States
Conference dates 13-18 Feburary 2010
Proceedings title Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Journal name Medical Imaging 2010: Image Processing
Place of Publication Bellingham, WA, United States
Publisher SPIE - International Society for Optical Engineering
Publication Year 2010
Sub-type Fully published paper
DOI 10.1117/12.844434
ISBN 9780819480248
ISSN 1605-7422
Volume 7623
Issue 1
Start page 76231E-1
End page 76231E-9
Total pages 9
Language eng
Abstract/Summary 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.
Keyword Brain
Image analysis
Magnetic Resonance Imaging
Image registration
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article # 76231E

Document type: Conference Paper
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Created: Thu, 06 Oct 2011, 13:40:40 EST by Dr Katie Mcmahon on behalf of Centre for Advanced Imaging