NAMIC Activities at UNC

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Presentation transcript:

NAMIC Activities at UNC Image Analysis DTI QC via Monte Carlo Simulation Longitudinal atlases with intensity changes DTI Registration with pathology Fiber tract analysis framework Shape Analysis Longitudinal shape correspondence Groupwise cortical correspondence SPHARM-Particle shape analysis framework TBI HD Methods Engineering

Cortical Correspondence Goal: Flexible, group-wise cortex correspondence Cortical thickness analysis in HD DBP Allow for point and sulcal landmarks, longitudinal info Existing NA-MIC particle based correspondence No guarantee on surface mesh topology Spherical parametrization No explicit registration/deformation Spherical harmonics encoding Local angular deformation Optimal pole choice

Group-wise Correspondence Entropy on sulcal depth & landmarks Exponential spherical mapping Color based correspondence QC

Cortical Correspondence - Manual (ground truth) sulci mapped into average atlas space

Brain Shape Regression Utah NA-MIC shape regression applied to pediatric brain shape Craniosynostosis pathologic brain development

DTI QC – Error distribution DTI/DWI noisy, artifact rich => QC needed Rejection of bad gradients How much rejection is still okay? Simple threshold on numbers of rejected DWI? Goal: Estimate error distribution via Monte Carlo Reject dataset based on error requirements Error in FA or principal direction

DTI Error Distribution Thresholds 1% FA error for apps like HD DBP 10° error for tractography in surgical apps

UNC-Utah DTI Framework NA-MIC Algorithms from UNC, MIT, Utah, Iowa => HD and TBI DBP Comprehensive tools DWI/DTI QC DWI/DTI-Atlas building Tractography Fiber metrics Profile analysis Slicer compatible SPIE/online tutorial