Na mic highlights a core 1 perspective
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NA-MIC Highlights: A Core 1 Perspective. Ross Whitaker University of Utah. National Alliance for Biomedical Image Computing. Algorithms Productivity. Things we have hardly thought about. Clinical/ Biomedical Science. Applied Methodology Validation/Evaluation. New methods.

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Na mic highlights a core 1 perspective

NA-MIC Highlights:A Core 1 Perspective

Ross Whitaker

University of Utah

National Alliance for Biomedical Image Computing


Algorithms productivity

Algorithms Productivity

Things we have hardly thought about

Clinical/

Biomedical

Science

Applied Methodology

Validation/Evaluation

New methods

Things we have

not yet published

AJNR

NeuroImage

ICCV, PAMI

MICCAI, MedIA, TMI

Publications


Algorithms productivity1

Algorithms Productivity

Adopted by unaffiliated groups

One-off prototypes

Proof of concept

Reusable (by friends)

Software and tools


Algorithms productivity2

Algorithms Productivity

Clinical

Practice

The real goal


Diffusion mri in schizophrenia

Diffusion MRI in Schizophrenia

Lee et al, “ Increased diffusivity in superior temporal gyrus in patients with schizophrenia: a Diffusion Tensor Imaging study”, Schiz. Res. 2009.

Tissue classification and hand segmentation of STG

Group differences and correlations with DTI measures


Dti in neurodevelopment

DTI in Neurodevelopment

Goodlett et. al, “Group analysis of DTI fi ber tract statistics with application to neurodevelopment”, Neuroimage, 2009.


Longitudinal studies of dti

Longitudinal Studies of DTI

Gouttard et. al, “Constrained Data Decomposition and

Regression for Analyzing Healthy Aging from

Fiber Tract Diffusion Properties”, MICCAI, 2009.

Atlas based alignment and tract identification

Localized statistics on longitudinal models


Atlases and segmentation for scientific studies

Atlases and Segmentation for Scientific Studies

Leemput et al., “Automated Segmentation of Hippocampal Subfields From Ultra-High Resolution In Vivo MRI”, Hippocampus, 2009.

Bayesian Image analysis for parcellation of the hippocampus


New technologies for atlases segmentation

New Technologies for Atlases/Segmentation

Riklin Raviv et al., “Joint Segmentation of Image Ensembles via Latent Atlases”, MICCAI 2009

Gerber et al., “On The Manifold Structure of the Space of Brain Images”, MICCAI 2009

Bootstrapping atlas with very little prior data

Discovering/utilizing underlying parameters of large image databases


New technologies for segmentation

New Technologies for Segmentation

Karasev et al., “Conformal Geometric Flows for Surface Segmentation”, 2010

Prastawa et al., “Stastical analysis and segmentation with pathology”, 2010

Applications of statistical atlases with allowances for outliers

Region specification by geometric flows on surfaces


Shape analysis in schizophrenia

Shape Analysis in Schizophrenia

Levitt et al., “Shape abnormalities of caudate nucleus in schizotypal personality disorder”, Schiz. Res., 2009.

Global and local caudate shape abnormalities in male and female SPD


Correspondence and shape multimodal cortex

Correspondence and Shape: Multimodal, Cortex

Oguz et al., “Cortical correspondence with probabilistic fiberconnectivity”, IPMI, 2009.

Combine shape and connectivity for group correspondence

More consistent alignment of cortex relative to state of the art


Shape and regression development

Shape and Regression/Development

Datar et al., “Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging”, MICCAI, 2009.

Correspondence incorporate an underlying developmental model


Where we are headed

Where We Are Headed

Clinical

Practice

New Ideas

Biomedical/Clinical Science


Stay tuned

Stay Tuned!

  • Investigators:

    • P. Golland – MIT

    • A. Tannenbaum – Georgia Tech

    • M. Stynder – UNC

    • G. Gerig – Utah


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