Visualization-based Brain Mapping - PowerPoint PPT Presentation

1 / 47
About This Presentation
Title:

Visualization-based Brain Mapping

Description:

Visualization-based Brain Mapping Jim Brinkley (PI) Structural Informatics Group Dept Biological Structure University of Washington, Seattle Funded by the Human Brain ... – PowerPoint PPT presentation

Number of Views:839
Avg rating:3.0/5.0
Slides: 48
Provided by: JimBri4
Category:

less

Transcript and Presenter's Notes

Title: Visualization-based Brain Mapping


1
Visualization-based Brain Mapping
  • Jim Brinkley (PI)
  • Structural Informatics Group
  • Dept Biological Structure
  • University of Washington, Seattle
  • Funded by the Human Brain Project
  • NIDCD
  • NIMH

2
Goals
  • An information framework for brain mapping
  • Organized around structure
  • Spatial
  • Symbolic
  • Implemented in a distributed, web-accessible
    system
  • Optimized for language mapping

3
Photo
4
Visual Brain Mapper (VBM)
5
Requirements for visualization-based brain mapping
  • Accurate reconstruction of brain surface as seen
    at neurosurgery
  • Different problem than surface reconstruction
    for unfolding, flattening, analysis

6
Reconstructing the surface
  • Isosurface following
  • Needs cleanly segmented cortex the
    skull-stripping problem

7
Approaches to skull-stripping
  • Manual
  • Deformable models
  • 3-D region growing/mathematical morphology

8
A shape-based approach
  • Represent knowledge of expected shape and range
    of variation of cortical envelope
  • Use to guide the search for gray-CSF boundary
  • Infer the boundary where none is present
  • Allow user corrections

9
Representing shape
  • Geometric constraint networks
  • Set of local constraints
  • Interact together to generate a global shape
    description

10
Constraint Network
Vi (Vi1, Vi2,)
Cij
Vj (Vj1, Vj2,)
11
Geometric Constraint Network
Vi (Vi1, Vi2,)
Cij
Vj (Vj1, Vj2,)
12
Radial contour modelStructural component
Ri Ri,inner Ri,outer
Cij
Rj Rj,inner, Rj,outer
13
Radial contour modelShape component
Ri
Cij Ri/Rjmin Ri/Rjmax
Rj
14
Constraint Propagation
15
Radial surface model
16
Radial surface model neighbors
17
Shape-based skull stripping
  • A module of VBM
  • Load previously trained shape model
  • Load MRI, MRV, MRA volumes
  • Find cortical envelope
  • Mask skull
  • Find cortical surface
  • Find veins and arteries

18
Mid-sagittal plane
19
Anterior Commissure
20
Posterior commissure
21
Cortical bounding box
22
Initial model
23
Initial model - end-on
24
Initial model - lateral view
25
Propagation from poles
26
Define one radial
27
Propagation from one radial
28
Error
29
Correct error
30
Generate mask
31
Generate mask
32
Error in mask
33
Generate mask
34
Generate isosurface
35
Extract veins
36
Mask veins
37
Vein isosurface
38
Extract arteries
39
Mask arteries
40
Artery isosurface
41
Vessels
42
All
43
Map
44
Workflow
Select Model
Select Patient
Find Envelope
Define Landmarks
Align
Propagate Search
Mask Volume
Segment Cortex
Segment Veins
Iso- Surface
Segment Arteries
Map
45
Workflow Architecture
Select Patient
Align
Segment Cortex
Segment Veins
Segment Arteries
Map
46
End User Web Interfaces
Authoring Programs
Experiment Manager
Brain Map Visualizer
Analyzer
Visual Brain Mapper
Symbolic Model Builder
Internet
Graphics Server
Repository Manager
Knowledge Server
Structural Information Servers
Spatial Knowledge
3-D Maps
Symbolic Knowledge
3-D Models
Images
Metadata
Spatial Information
Symbolic Information
47
Contributors
  • Kevin Hinshaw
  • Jeff Prothero
  • Andrew Poliakov
  • Richard Martin
  • David Corina
  • Ken Maravilla
  • George Ojemann
  • Rex Jakobovits
  • Kate Mulligan
  • Hector Lettich
  • Linda Shapiro
  • Cornelius Rosse
Write a Comment
User Comments (0)
About PowerShow.com