Visualizing Fiber Tracts in the Brain Using Diffusion Tensor Data PowerPoint PPT Presentation

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Title: Visualizing Fiber Tracts in the Brain Using Diffusion Tensor Data


1
Visualizing Fiber Tractsin the BrainUsing
Diffusion Tensor Data
  • Masters Project Presentation
  • Yoshihito Yagi
  • Thursday, July 28th, 1000 a.m.
  • 499 Dirac Science Library

2
What does a brain look like?
  • A brain is composed of fibers, which connect the
    cortex to other parts of the brain and the spinal
    chord.
  • When lesions or tumors appear in the interior of
    the white matter of the brain, fibers might go
    around them, and it makes lesions and tumors
    visible.
  • Until now, in order to see fibers we had to cut
    into a brain.

3
Diffusion Tensor (DT) MRI
  • DT-MRI can be used to reconstruct fibers inside
    brain noninvasively.
  • There are two visualization methods using DT-MRI.
  • Glyph-based visualization
  • Fiber tracking method

4
Glyph-Based Visualization
  • 2D and 3D arrays of glyphs.

5
Fiber Tracking
  • Fiber Tracking can visualize the white matter
    connectivity.

6
What is a tensor?
  • A tensor with rank 2, dimension 3 is just a 3x3
    matrix.
  • A matrix is used to represent the diffusion of
    water inside tissue.

7
Diffusion of Water
  • How the diffusion MRI relates to the diffusion of
    water is not fully understood.
  • The diffusion of microstructures is limited by
    the boundary of the long structure.
  • The diffusion is more along one direction than
    the others.

8
eigenvalues and eigenvectors
  • In this project, a matrix is symmetric positive
    definite.
  • There are only six distinct values.
  • A matrix has 3 eigenvectors, , and 3
    positive real number eigenvalues, ,
    where .

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Anistropic Diffusion
  • Diffusion can be characterized by three
    anisotropic diffusion properties.
  • Westin et.al proposed three measurements Cl, Cp,
    Cs.

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Liner Anisotropic Diffusion, Cl
  • If , then the diffusion
    occurs almost entirely along the e1 direction.
  • Define Cl that is 1 when the previous situation
    holds, and is less than 1 otherwise.

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Planar Anisotropic Diffusion, Cp
  • If , then the diffusion
    is along 2 directions, e1 and e2.
  • Define Cp that is 1 when the previous situation
    holds, and is less than 1 otherwise.

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Spherical Anisotropic Diffusion, Cs
  • i.e., Isotropic Diffusion.
  • If , then the diffusion occurs
    in every direction.
  • Define Cs such that

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What do these regions look like?
  • The regions of large Cl, Cp, Cs.
  • The region of white matter, like the corpus
    callosum, has a large Cl.
  • Fibers exist where Cl is large, and they are
    parallel due to a linear diffusion.

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Fiber Tracking Algorithm
  • A fiber starts at the point where Cl is large,
    and it is integrated along e1.
  • e1 is the largest diffusion.

15
Problem
  • Long integration leads you to the point where Cl
    is small.

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Tensorline
  • This is proposed by Weinstein et al.
  • This used two additional vectors, Vin and Vout to
    calculate a propagation vector.
  • If Cl is small, then Vin has more weight.

17
The Goal of This Project
  • Our goal is to make pictures which look like
    those of dissected brains in the book.
  • We are improving realism in the display.

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Realistic Illumination
  • Realistic illumination means global illumination
    (GI) which is the technique used to simulate
    indirect illumination.
  • Problem GI uses surfaces instead of lines.
  • Solution Around each line, create a polygonal
    mesh.

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Global vs. Local
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Cut-away
  • In all the preparations of the brains, we see
    that the brain has been cut into, in order to see
    the interior.
  • We use the same strategy.

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Cut-away algorithm
  • We create an isosurface mesh of the basic
    anatomical MRI data, which yields the cortex of
    the brain.
  • There are a mesh S and two planes H1 and H2.

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Cut-away images and movie
  • We clip the isosurface of the cortex in order to
    see inside the isosurfaces of Cl and Cp.
  • See a movie.

23
Global vs. Local
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Density and radius of fibers
  • Since these fibers are merely suggestive of the
    actual anatomy of the white matter, their density
    and radius are free parameters.

25
Changing the density of fibers
  • The number of fibers are 300, 600, 1200
  • The radius of fibers is 0.3

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Placing more fibers and shrinking their radius
  • The number of fibers are 300, 600, 1200.
  • The radius of fibers are 0.6, 0.3, 0.15.

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Interactive exploration of data
  • We implement several interactive tools which
    enable a user to manipulate data.
  • See a movie.

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Highlighting fibers
  • If fibers are passing through active regions of
    the cortex, then they are highlighted.
  • The activated regions can be found from
    functional MRI.

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Highlighting fibers
  • Highlighting fibers intersect with triangular
    meshes.

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Novel Contribution
  • Highlighting fibers
  • Intersection of a fiber with a cortex triangular
    mesh
  • Global illumination

31
Laboratory for Mathematics in Imaging at Harvard
Medical School.
  • We have collaborated with Gordon Kindleman at
    LMI. In fact, We use his brain data to construct
    3D images.
  • Next year, Dr. Banks will spend fall 2005 at LMI
    in order to integrate the tools from this project
    into their clinical protocols.

32
Thanks
  • Dr. Banks (Adviser)
  • Dr. Ouimet, Dr. Liu (Committee)
  • Beason (Ray Tracer Pane)
  • Ji, Saka,Connor, Reece (Review my report)
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