TY - GEN
T1 - Multi-modal surface-based alignment of cortical areas using intra-cortical T1 contrast
AU - Tardif, Christine Lucas
AU - Dinse, Juliane
AU - Schäfer, Andreas
AU - Turner, Robert
AU - Bazin, Pierre Louis
PY - 2013
Y1 - 2013
N2 - The position of cortical areas in the brain is related to cortical folding patterns; however, intersubject variability remains, particularly for higher cortical areas. Current cortical surface registration techniques align cortical folding patterns using sulcal landmarks or cortical curvature, for instance. The alignment of cortical areas by these techniques is thus inherently limited by the sole use of geometric similarity metrics. Magnetic resonance imaging T1 maps show intra-cortical contrast that reflects myelin content, and thus can be used, in addition to cortical geometry, to improve the alignment of cortical areas. In this article, we present a new symmetric diffeomorphic multi-modal surface-based registration technique that works in the level-set framework. We demonstrate that the alignment of cortical areas is improved by using T1 maps. Finally, we present a unique group-average ultra-high resolution T1 map at multiple cortical depths, highlighting the registration accuracy achieved. The method can easily be extended to include other MR contrasts, such as functional data and anatomical connectivity, as well as other neuroimaging modalities.
AB - The position of cortical areas in the brain is related to cortical folding patterns; however, intersubject variability remains, particularly for higher cortical areas. Current cortical surface registration techniques align cortical folding patterns using sulcal landmarks or cortical curvature, for instance. The alignment of cortical areas by these techniques is thus inherently limited by the sole use of geometric similarity metrics. Magnetic resonance imaging T1 maps show intra-cortical contrast that reflects myelin content, and thus can be used, in addition to cortical geometry, to improve the alignment of cortical areas. In this article, we present a new symmetric diffeomorphic multi-modal surface-based registration technique that works in the level-set framework. We demonstrate that the alignment of cortical areas is improved by using T1 maps. Finally, we present a unique group-average ultra-high resolution T1 map at multiple cortical depths, highlighting the registration accuracy achieved. The method can easily be extended to include other MR contrasts, such as functional data and anatomical connectivity, as well as other neuroimaging modalities.
KW - brain mapping
KW - cortical areas
KW - cortical curvature
KW - cortical folding
KW - cortical morphometry
KW - group analysis
KW - multi-contrast
KW - multi-modal
KW - myelin
KW - neuroimaging analysis
KW - quantitative T1
KW - surface registration
UR - http://www.scopus.com/inward/record.url?scp=84883266027&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883266027&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-02126-3_22
DO - 10.1007/978-3-319-02126-3_22
M3 - Conference contribution
AN - SCOPUS:84883266027
SN - 9783319021256
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 222
EP - 232
BT - Multimodal Brain Image Analysis - Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Proceedings
T2 - 3rd International Workshop on Multimodal Brain Image Analysis, MBIA 2013, Held in Conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Y2 - 22 September 2013 through 22 September 2013
ER -