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Diffuse Tensor Imaging - PowerPoint Presentation

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Diffuse Tensor Imaging - PowerPoint Presentation

  1. 1. Diffusion Tensor Imaging (DTI) Kevin Li Paul Mozo Cesar Quintana Andrea Rolong
  2. 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. 3. Comparison to MRI  Main difference lies in the process of data acquisition  Visualization techniques for diffusion tensor data. 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  Tractography based on diffusion tensor tracking is the most attracting tools for visualizing and analyzing white matter fiber tracts http://graphics.cs.ucdavis.edu/~lfeng/sig/tensor/papers/MR%20diffusion%20tensor%20imaging%20recent%20adv ance%20and%20new%20techniques%20for%20diffusion%20tensor%20visualization%20science.pdf Image-based display of diffusion tensor data
  4. 4.  Ellipsoidal visualization of diffusion tensor data http://graphics.cs.ucdavis.edu/~lfeng/sig/tensor/papers/MR%20diffusion%20tensor%20imaging%20recent%20ad vance%20and%20new%20techniques%20for%20diffusion%20tensor%20visualization%20science.pdf
  5. 5.  Fiber tractography by tracking diffusion tensor http://graphics.cs.ucdavis.edu/~lfeng/sig/tensor/papers/MR%20diffusion%20tensor%20imaging%20recent%20adva nce%20and%20new%20techniques%20for%20diffusion%20tensor%20visualization%20science.pdf
  6. 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=QJ-l7p0seTMC&printsec=frontcover&dq=diffusion+tensor+imaging&cd=1#v=onepage&q&f=true http://books.google.com/books?id=N20nnxByjVAC&printsec=frontcover&dq=diffusion+mri&cd=5#v=onepage&q&f =true
  7. 7. 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 • DTI is an important tool in Neuroscience research • Significant role in evaluation of brain tumor • DTI complements BOLD fMRI • Finding new clinical applications for DTI is a hot topic in the MR research community APPLICATIONS Image fusion of anatomical image, DTI data and fMRI BOLD results
  8. 8. 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.
  9. 9. 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
  10. 10. Questions???

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