Projects:LongitudinalAtlasBuilding

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Longitudinal atlas building

As part of the longitudinal intra- and interpatient analysis theme within NA-MIC, we are working on a deformable, longitudinal DTI atlas method. Our initial approach is based on intensity calibrated images assuming homogenous intensity across the time scale. This longitudinal framework explicitly accounts for temporal dependencies via iterative subject-specific statistical growth modeling, and cross-sectional atlas-building. To effectively account for measurements sparse in time, a continuous-discrete statistical growth model is proposed incorporating also patient co-variates

Publications

• NA-MIC Publication Database on Longitudinal Atlas Building

Key Investigators

• UNC Algorithms: Marc Niethammer, Istvan Csapo, Yundi Shi, Martin Styner