1 / 8

NAMIC Activities at UNC

NAMIC Activities at UNC. TBI. HD. Methods Engineering. I mage 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

eagan
Télécharger la présentation

NAMIC Activities at UNC

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. NAMIC Activities at UNC TBI HD Methods Engineering • 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

  2. 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

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

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

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

  6. 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

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

  8. 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

More Related