namic activities at unc

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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 Methods Engineering

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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

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Page 1: 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

Page 2: NAMIC Activities  at UNC

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

Page 3: NAMIC Activities  at UNC

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

Page 4: NAMIC Activities  at UNC

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

Slide 4

Cortical Correspondence

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

Page 5: NAMIC Activities  at UNC

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

Page 6: NAMIC Activities  at UNC

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

Page 7: NAMIC Activities  at UNC

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

Page 8: NAMIC Activities  at UNC

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