NAMIC Activities at UNC

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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 - PowerPoint PPT Presentation

Transcript of NAMIC Activities at UNC

National Alliance for Medical Image Computing http://na-mic.org

Slide 1

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

MethodsEngineering

National Alliance for Medical Image Computing http://na-mic.org

Slide 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

National Alliance for Medical Image Computing http://na-mic.org

Slide 3

Group-wise Correspondence

• Entropy on sulcal depth & landmarks– Exponential spherical mapping

• Color based correspondence QC

National Alliance for Medical Image Computing http://na-mic.org

Slide 4

Cortical Correspondence

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

National Alliance for Medical Image Computing http://na-mic.org

Slide 5

Brain Shape Regression• Utah NA-MIC shape

regression applied to pediatric brain shape

• Craniosynostosis pathologic brain development

National Alliance for Medical Image Computing http://na-mic.org

Slide 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

National Alliance for Medical Image Computing http://na-mic.org

Slide 7

DTI Error Distribution

Thresholds• 1% FA error for apps like HD DBP• 10° error for tractography in surgical apps

National Alliance for Medical Image Computing http://na-mic.org

Slide 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