Title: Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM
1Framework for the Statistical Shape Analysis of
Brain Structures using SPHARM-PDM
- M. Styner, I. Oguz, S. Xu, C. Brechbuehler, D.
Pantazis, J. Levitt, M. Shenton, G. Gerig - UNC, ETHZ, USC, Harvard, NA-MIC
2Brain Morphometry
- Brain Morphometry in Neurological Disorders
- Morphometry ? Pathology
- Schizophrenia, Autism, Alzheimers, Depression,
MPS, Krabbe, FragileX
Difference
Difference
SZ
Cnt
Group Difference
Stats
3Concept Shape Analysis
- Group analysis of a brain region
- Traditional analysis only regional volume
- Additional shape analysis via SPHARM PDM
Volumetric analysis Size, Growth
Shape Representation
Statistical analysis
Binary Segmentation
Local processes
4Table of Contents
- Motivation
- Brain morphometry
- Methodology
- SPHARM PDM
- Statistical Testing
- Tool development
- Example
- Caudate shape in Schizo-typal Personality
Disorder (PSD) - Discussion Outlook
5Shape Analysis Workflow
Segmentation
Preprocessing
Representation
Spherical Parameterization
- Correspondence
- Alignment
- Scaling
SPHARM-PDM
Analysis
Hotelling T2 Surface Distance
Statistical Hypothesis Testing
6Representation SPHARM-PDM
- Hierarchical description
- Spherical harmonics basis
- Surface Parameterization
- Fit coefficients of parameterized basis functions
to surface - Reconstruct object ?PDM
1
3
6
10
7Representation SPHARM-PDM
- Correspondence by parameterization
- First order ellipsoid
- Initialization for other methods
- Prior talk Heimann, Oguz
- IPMI 2003 comparison
- Alignment
- Rigid-Body Procrustes to template
- Normalization with uniform scaling
- Original size as is
- Cranial cavity size normalization
- User choice
8Group Shape Difference
- Corresponding aligned surfaces
- Analyze shape differences
- Features per surface point
- Multivariate Point locations
- Hotelling T2 two sample metric
- At each location Hypothesis test
- Difference between groups?
- P-value of group mean difference
- Significance map
- Non-parametric permutation tests
- No distribution assumption
9P-value Correction
- Many tests computed independently
- Biased, highly optimistic
- Corrected significance map
- As if only one test performed
- Bonferroni correction
- Global False-Positive rate, simple
- Very pessimistic
- pcorr p/n 0.05/1000 0.00005
- Non-parametric permutation tests
- Minimum statistic of raw p-values
- Global False-Positive rate
- Still pessimistic
- False Discovery Rate
- Allow an expected rate of falsely significant
tests
Correction
ISBI 2004 Pantazis, Leahy, Nichols, Styner
10Tool Development
- Methodology ? clinically useful tools
- Computer scientists create tools
- Our shape analysis tools
- Enable clinical investigators to create knowledge
- In use Harvard (BWH, VAB), NIMH, Duke (CIVM,
NIRL), UIUC, GeorgiaTech, UUtah, U. Bern, U.
Zaragoza, ANU Canberra, UNC - Open Source, UNC NeuroLib, Tested, Validated
- CVS download and linux binaries with examples
11Shape Analysis Tools I
- Command line
- Scripting simple
- SegPostProcess
- Spherical Topology
- Smoothing
- Up-interpolation
- Interior filling
- GenParaMesh
- Surface Mesh
- Spherical Parameterization
- Brechbuehler CVGIP
12Shape Analysis Tools II
- ParaToSPHARMMesh
- SPHARM-PDM
- Alignment
- StatNonParamPDM
- Descriptive Statistics
- Mean, Variance
- Significance Map
- Raw, Corrected
- Examples, Scripts
- Many parameters
- See manuscript
13Example Caudate Shape
- Right Caudate
- Basal Ganglia structure
- Schizo-typal Personality Disorder (15 subjects)
- Controls (14 subjects)
- Male subjects only
- Segmentation with 3D Slicer v2 (BWH)
14Caudate Study
- Correspondence
- KWMeshVisu
- Descriptive Statistics
Covariance ellipsoids
Mean Difference
Medial
Lateral
15Caudate Study
- Hypothesis testing
- Levels of correction
- Global shape difference
- Mean difference p 0.009
- Right caudate different between Cnt and SPD
- Interpretation by clinicians
16Discussion
- Comprehensive set of open source tools for shape
analysis using SPHARM-PDM - Command line tools
- Local group differences
- Applied in UNC studies Twin similarity,
Schizophrenia, Autism, Fragile-X - Visualization
- Quality Control is important
- KWMeshVisu prior talk Oguz
17Outlook
- MANCOVA for group variables
- Age, gender, clinical scores
- Open hippocampus dataset for testing
- Testing environment for other data
- Deformation field
- Cortical thickness data
- Questions?
- Support
- National Alliance for Medical Image Computing,
NIH Roadmap Grant U54 EB005149-01 - UNC Neurodevelopmental Disorders Research Center
HD 03110 - NIH NIBIB grant P01 EB002779, EC-funded BIOMORPH
project 95-0845, VA Merit Award, VA Research
Enhancement Award Program, NIH R01 MH50747, K05
MH070047
NA-MIC
18Brain Morphometry
- Studies of normal development
- Studies in animals
TranslationalResearch
- Mouse
- Genetic control
- Small variability
- No folding
- Monkey
- Reduced complexity and variability
19CVS and Dashboard
Dashboard
Doxygen
- CVS repository for source, nightly compilation
and testing - Code/Dashboard master
20Statistical Hypothesis Testing
- At each location Hypothesis test
- Significant difference between groups?
- P-value of group mean difference
- Schizophrenia group vs Control group
- Significance map
- Threshold a, e.g. 5
- Non-parametric permutation tests
- No distribution assumption
- P-values directly from observed distribution
21Permutation Hypothesis Tests
- Estimate distribution
- Permute group labels
- Na , Nb in Group A and B
- Create M permutations
- Compute feature Sj for each perm
- Histogram ? Distribution
- p-value
- Perms larger / Perms total
Sj
perm
Sj
22SPHARM Parameterization
- Spherical topology of segmentation
- Mapping of surface to unit sphere
- Difficult, no unique ordering of points in 3D
- Initialize with heat equation mapping
- Optimization for equal area ratio mapping with
minimal angular distortion
23Example Hippocampus in SZ
- Temporal lobe, Limbic system
- Storage of auditory and visual memories
- 56 Schizophrenics vs 26 Controls
- Surface difference
- Main differences at tail
Diff between Means
Styner, Lieberman, Pantazis, Gerig Boundary and
Medial Shape Analysis of the Hippocampus in
Schizophrenia, Medical Image Analysis, 2004, pp
197-203 Styner, Lieberman, Gerig Boundary and
Medial Shape Analysis of the Hippocampus in
Schizophrenia, MICCAI 2003, II, pp. 464-471
24UNC Shape Analysis
- Group analysis of a brain region
- Regional volume and shape analysis
25UNC Shape Analysis
- UNC Open Source
- Comprehensive set of analysis tools
- Visualization tools
- Separate talk later