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.
University of Utah
National Alliance for Biomedical Image Computing
Things we have hardly thought about
Things we have
not yet published
MICCAI, MedIA, TMI
Adopted by unaffiliated groups
Proof of concept
Reusable (by friends)
Software and tools
The real goal
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
Goodlett et. al, “Group analysis of DTI fi ber tract statistics with application to neurodevelopment”, Neuroimage, 2009.
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
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
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
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
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
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
Datar et al., “Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging”, MICCAI, 2009.
Correspondence incorporate an underlying developmental model