Loading…

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

Like this presentation? Why not share!

Like this? Share it with your network

Share

Diffuse Tensor Imaging - PowerPoint Presentation

  • 3,548 views
Uploaded on

 

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to like this
No Downloads

Views

Total Views
3,548
On Slideshare
3,548
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
111
Comments
1
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide
  • The voxel value represents thevalue of maximum diffusion coefficient l?, anisotropymeasure such as FA, orientation of the maximumdiffusion coefficient e1 and so on. The color-encodedimage of diffusion MRI was developed to visualize fiberorientation
  • methods based on the use ofsymbolic objects have been proposed. Those symbolsare; arrow, ellipsoid, and other combined objects[20,27,40/43] and are aimed at displaying spatialdistribution of the anisotropy and the principle directionsof the diffusion tensor.An ellipsoid of diffusiontensor represents distance covered in 3D space bymolecules in a certain diffusion time.
  • Fiber tractography technique, initiated by Mori et al.[35], based on tracking fibers in principle direction ofdiffusion tensor provides further visualization beyondother techniques. Tractography is basically based on theline propagation technique, in which a tracking line ispropagated from a start point called ‘seed’.

Transcript

  • 1. Diffusion Tensor Imaging (DTI)
    Kevin Li
    Paul Mozo
    Cesar Quintana
    Andrea Rolong
  • 2. Introduction To DTI
    Diffusion Tensor Imaging (DTI)
    MR Imaging Modality
    Utilizes Diffusion Rate and Direction
    of Diffusion Measurements
    Evaluate Various Conditions
    Mainly Involving the Brain
    Mori, Susumu, and Jiangyang Zhang. "Principles of Diffusion Tensor Imaging and Its Applications to Basic Neuroscience Research." Neuron. (527-539): 2006. Print.
    Presentation by Jay A. Van Gerpen, M.D., Neurologist Mayo Clinic Jacksonville, FL
  • 3. Comparison to MRI
    Main difference lies in the process of data acquisition
    Visualizationtechniques for diffusion tensordata. Two groups:
    Image-based methods and the 3D rendering of those images
    Symbolic (or geometric) display methods by using various types of glyph such as ellipsoid
    Tractographybased on diffusion tensor tracking is the most attracting tools for visualizing and analyzing white matter fiber tracts
    Image-based display of diffusion tensor data
    http://graphics.cs.ucdavis.edu/~lfeng/sig/tensor/papers/MR%20diffusion%20tensor%20imaging%20recent%20advance%20and%20new%20techniques%20for%20diffusion%20tensor%20visualization%20science.pdf
  • 4. Ellipsoidal visualization of diffusion tensor data
    http://graphics.cs.ucdavis.edu/~lfeng/sig/tensor/papers/MR%20diffusion%20tensor%20imaging%20recent%20advance%20and%20new%20techniques%20for%20diffusion%20tensor%20visualization%20science.pdf
  • 5. Fiber tractography by tracking diffusion tensor
    http://graphics.cs.ucdavis.edu/~lfeng/sig/tensor/papers/MR%20diffusion%20tensor%20imaging%20recent%20advance%20and%20new%20techniques%20for%20diffusion%20tensor%20visualization%20science.pdf
  • 6. Physics
    Tensor diffusion imaging uses the diffusion of water to measure the intensity of signal.
    The physics of weighted imaging f(x,y)=M0(1-e-TR/T1)e-TE/T2e-bD where b=(G∆)2(∆-/3) .
    Tensors are used to limited number of measurements.
    Diffusion tensor can be determined by using vector multiplications
    B=
    X=BD
    http://books.google.com/books?id=N20nnxByjVAC&printsec=frontcover&dq=diffusion+mri&cd=5#v=onepage&q&f=true
    http://books.google.com/books?id=QJ-l7p0seTMC&printsec=frontcover&dq=diffusion+tensor+imaging&cd=1#v=onepage&q&f=true
  • 7. APPLICATIONS
    • DTI is an important tool in Neuroscience research
    • 8. Significant role in evaluation of brain tumor
    • 9. DTI complements BOLD fMRI
    • 10. Finding new clinical applications for DTI is a hot topic in the MR research community
    Image fusion of anatomical image, DTI data and fMRI BOLD results
    Ref: Jay A. Van Gerpen, M.D., Neurologist Mayo Clinic Jacksonville, www.medical.siemens.com/siemens/sv_SE/gg_mr_FBAs/files/brochures/DTI_HT_FINAL_HI.pdf, Filippi M, Cercignani M, Inglese M, Horsfield M, Comi G (2001) Diffusion tensor magnetic resonance imaging in multiple sclerosis, HARVARD REV PSYCHIATRY 2002, Department of Radiology, University of Michigan Health System, Fundamentals of Human Neuropsychology‬ By Bryan Kolb
  • 11. Review of specific applications of Diffusion Tensor Imaging in brain tumors
    Ref: HARVARD REV PSYCHIATRY 2002, Department of Radiology, University of Michigan Health System, Department of Radiology Division of NMR Johns Hopkins University, JOURNAL OF MAGNETIC RESONANCE IMAGING 13:534–546 (2001), Fundamentals of Human Neuropsychology‬ By Bryan Kolb, Ian Q. Whishaw, bic.missouri.edu.
  • 12. Future
    Real Time Imaging
    Decrease The Number of Programs
    Validate and Develop New Algorithms
    Use of Contrast Agents
    Use of DTI in Other Areas of Medicine
  • 13. Questions???