Institute for Biomedical Engineering EXCITE Afternoon Hands-On MRI Sessions: fMRI & DTI.

Slides:



Advertisements
Similar presentations
Neuro-Imaging High Resolution Ex-Vivo MRI Ex-Vivo DTI of Brain Stem
Advertisements

BOLD Imaging at 7T Mark Elliott CfN Symposium 4/9/2008.
MRI Physics 2: Contrasts and Protocols
Principles of the MRI Signal Contrast Mechanisms MR Image Formation John VanMeter, Ph.D. Center for Functional and Molecular Imaging Georgetown University.
Contrast T1 weighted – (MPRAGE-anatomical) T2 weighted – (fmri)
Imaging Sequences part I
Chapter 7: Gradient Echo Imaging Methods
Proton Spin In absence of a magnetic field, protons spin at random
Introduction to fMRI physics for dummies (like me!).
Richard Wise FMRI Director +44(0)
M R I Pulse Sequences Jerry Allison Ph.D..
BE 581 Lecture 3- Intro to MRI.
PHYSICS OF MAGNETIC RESONANCE
Methods for Medical Imaging– Prof. G. Baselli 2012 Diffusion weighted MRI and DTI tractography Maria Giulia Preti
Magnetic Resonance Imaging - MRI
MR Sequences and Techniques
MR TRACKING METHODS Dr. Dan Gamliel, Dept. of Medical Physics,
Statistical Parametric Mapping
DIFFUSION TENSOR IMAGING
Basic Principles MRI related to Neuroimaging Xiaoping Hu Department of Biomedical Engineering Emory University/Georgia Tech
Principles of MRI. Some terms: –Nuclear Magnetic Resonance (NMR) quantum property of protons energy absorbed when precession frequency matches radio frequency.
Functional Brain Signal Processing: EEG & fMRI Lesson 12 Kaushik Majumdar Indian Statistical Institute Bangalore Center M.Tech.
The Danish National Research Foundation’s Center of Functionally Integrative Neuroscience Aarhus University / Aarhus University Hospital Diffusion weighted.
Mitglied der Helmholtz-Gemeinschaft Diffusion MRI in the Neurosciences N. Jon Shah Institute of Neuroscience and Medicine – 4 Research Centre Juelich
Magnetic Resonance Imagining (MRI) Magnetic Fields
Diffusion Tensor MRI And Fiber Tacking Presented By: Eng. Inas Yassine.
Principles of NMR Protons are like little magnets
FMRI: Biological Basis and Experiment Design Lecture 5: non-BOLD MRI Equilibrium and excitation Relaxation rates Image contrast –TE –TR.
Basics of Magnetic Resonance Imaging
Magnetic Resonance Imaging 4
Physics of Magnetic Resonance Chapter 12
What can you see by MRI ? Stephen Paisey.
CT “Computer tomography”. Contrast mechanisms in X-ray imaging: X-ray absorption X-ray absorption mechanisms: 1. Photoelectric effect 2. Compton scatter.
2012 spring fMRI: theory & practice
Pulse sequences.
Pulse Sequences Types of Pulse Sequences: Functional Techniques
Medical Image Analysis Medical Imaging Modalities: Magnetic Resonance Imaging Figures come from the textbook: Medical Image Analysis, Second Edition, by.
Contrast Mechanism and Pulse Sequences Allen W. Song Brain Imaging and Analysis Center Duke University.
fMRI Methods Lecture2 – MRI Physics
Human Functional Brain Imaging Dr. Ryan C.N. D’Arcy NRC Institute for Biodiagnostics (Atlantic)
Contrast Mechanisms in MRI Introduction to Cardiovascular Engineering Michael Jay Schillaci, PhD Managing Director, Physicist Tuesday, September 16 th,
High Resolution 3D Diffusion Pulse Sequence Dept. of Radiology Medical Imaging Research Lab. University of Utah Eun-Kee Jeong, Ph.D. Ph.D. Seong-Eun Kim,
3.1 T 127 MHz 3.0 T 123 MHz 2.9 T 119 MHz excite Like a swing. Got one of the 3 orthogonal spatial dimensions when we excite. z.
Contrast Mechanism and Pulse Sequences
Magnetic Resonance Imaging – Basic Principles –
MRI Physics Dr Mohamed El Safwany, MD.. MRI Magnetic Resonance Imaging Magnetic Resonance Imaging.
FMRI – Week 4 – Contrast Scott Huettel, Duke University MR Contrast FMRI Graduate Course (NBIO 381, PSY 362) Dr. Scott Huettel, Course Director.
BMI2 SS08 – Class 7 “functional MRI” Slide 1 Biomedical Imaging 2 Class 7 – Functional Magnetic Resonance Imaging (fMRI) Diffusion-Weighted Imaging (DWI)
V.G.Wimalasena Principal School of Radiography
Fund BioImag : Relaxation of nuclear magnetization 1.How is the MR signal detected ? 2.What is the quantum-mechanical equivalent of the rotating.
Measuring Water Diffusion In Biological Systems Using Nuclear Magnetic Resonance Karl Helmer HST 583, 2006
MRI: Contrast Mechanisms and Pulse Sequences
Spinning Nucleus Produces Magnetic Moment
Principles of MRI Physics and Engineering Allen W. Song Brain Imaging and Analysis Center Duke University.
Einstein on Brownian Motion 1905 five important papers DTI Basics – Water Diffusion.
Advanced fMRI Methods John VanMeter, Ph.D. Center for Functional and Molecular Imaging Georgetown University Medical Center.
Diffusion Tensor MRI From Deterministic to Probabilistic Modelling
Parameters which can be “optimized” Functional Contrast Image signal to noise Hemodynamic Specificity Image quality (warping, dropout) Speed Resolution.
BOLD functional MRI Magnetic properties of oxyhemoglobin and deoxyhemoglobin L. Pauling and C. Coryell, PNAS USA 22: (1936) BOLD effects in vivo.
10 spring fMRI: theory & practice
FMRI data acquisition.
Introduction to diffusion MRI
MRI Physics in a Nutshell Christian Schwarzbauer
Where Mt is the magnetization at time = t, the time after the 90o pulse, Mmax is the maximum magnetization at full recovery. At a time = one T1, the signal.
Magnetic Resonance Imaging: Physical Principles
Introduction to diffusion MRI
Bioengineering 280A Principles of Biomedical Imaging Fall Quarter 2005 MRI Lecture 5 Thomas Liu, BE280A, UCSD, Fall 2005.
Eduardo H. M. S. G. de Figueiredo, BSc, Arthur F. N. G
The echo time (TE) The echo time (TE) refers to the time between the application of the radiofrequency excitation pulse and the peak of the signal induced.
T2 Relaxation Time T2 relaxation time is defined as the time needed to dephase up to 37% of the original value. T2 relaxation refers to the progressive.
Presentation transcript:

Institute for Biomedical Engineering EXCITE Afternoon Hands-On MRI Sessions: fMRI & DTI

Institute for Biomedical Engineering Contrast in MRI - Relevant Parameters Relaxation times:  T1Spin-lattice relaxation time (longitudinal relaxation time) Return of spin system to equilibrium state  T2Spin-spin relaxation time (transverse relaxation time) Loss of phase coherence due to fluctuations of interacting spins (‘phase memory time’)  T2*Decay time of free induction decay Signal loss due to magnetic field inhomogeneity (difference in magnetic susceptibility)  ADCApparent diffusion coefficient Signal loss due to diffusion of water molecules in an inhomogeneous magnetic field  kwater exchange rate Exchange of water between macromolecule bound fraction and bulk (free) water

Institute for Biomedical Engineering Sensitivity: Signal-to-Noise Ratio (SNR) Spatial resolution Temporal resolution Signal: magnetization (number of spins, magnetic field strength, …. ) Noise: thermal noise of receiver system, physiological noise, … Relations and Limitations

Institute for Biomedical Engineering IBT MRI Contrast

Institute for Biomedical Engineering  MRI delivers good soft tissue contrast  Tissue specific magnetic parameters for contrast generation  T2 / T2*: how fast is signal lost after excitation  T1: how fast is magnetization gained back after excitation for next experiments  Sequence parameters and sequence type determine contrast Relaxation times

Institute for Biomedical Engineering time (s) M i (t)/M eq MxMx MyMy MzMz The NMR signal Relaxation exp(-t/T 2 *) 1-exp(-t/T 1 )

Institute for Biomedical Engineering  Relevant parameters:  Repetition time (TR) = time between two excitations  Flip angle -> how much magnetization is left for next excitation  Strong T1 weighting for large flip angle and short TR T1 weighting M xy MzMz M zA M zB θ T 1 Relaxation during TR

Institute for Biomedical Engineering T1 weighting: Example  Two metabolites with T1=500ms (blue) and T1=250ms (red)  Flip angle: 60°  Signal proportional to  M z  TR=3000ms IBT time MzMz

Institute for Biomedical Engineering T1 weighting: Example  Two metabolites with T1=500ms (blue) and T1=250ms (red)  Flip angle: 60°  Signal proportional to  M z  TR=300ms IBT time MzMz

Institute for Biomedical Engineering T1 weighting: Example  Two metabolites with T1=500ms (blue) and T1=250ms (red)  Flip angle: 60°  Signal proportional to  M z  TR=100ms IBT time MzMz

Institute for Biomedical Engineering  Relevant parameter:  Echo time (TE) = time between excitations and data acquisition  Strong T2 weighting for long TE T2 / T2* weighting M xy t / ms TE short TE medium TE long

Institute for Biomedical Engineering  Intensity scales with number of signal generating nuclei per volume element  Keep influence of relaxation times small:  Short TE -> small effect of T2 / T2* on signal  Long TR -> small effect of T1 Proton density weighting

Institute for Biomedical Engineering IBT Functional MRI (fMRI)

Institute for Biomedical Engineering 14IBT  Uses echo planar imaging (EPI) for fast acquisition of T2*-weighted images.  Spatial resolution:  3 mm(standard 1.5 T scanner)  < 200 μm(high-field systems)  Sampling speed:  1 slice: ms  Problems:  distortion and signal dropouts in certain regions  sensitive to head motion of subjects during scanning  Requires spatial pre-processing and statistical analysis. EPI (T2 * ) T1 dropout But what is it that makes T2* weighted images “functional”? Functional MRI (fMRI)

Institute for Biomedical Engineering The BOLD contrast Source: Jorge Jovicich, fMRIB Brief Introduction to fMRIfMRIB Brief Introduction to fMRI  neural activity   blood flow   oxyhemoglobin   T2*   MR signal REST ACTIVITY

Institute for Biomedical Engineering The temporal properties of the BOLD signal  sometimes shows initial undershoot  peaks after 4-6 secs  back to baseline after approx. 30 secs  can vary between regions and subjects Brief Stimulus Undershoot Initial Undershoot Peak

Institute for Biomedical Engineering IBT MRI and Diffusion

Institute for Biomedical Engineering Brownian motion  Molecules or atoms in fluids and gases move freely  Collisions with other particles causes trembling movement  Brownian motion: microscopic random walk of particles in fluids of gases (R. Brown 1827)  Brownian motion depends on thermal energy, particle properties and fluid density

Institute for Biomedical Engineering Diffusion  Diffusion: irreversible automatic mixing of fluids (or gases) due to Brownian motion  Root mean square displacement depends on diffusion coefficient D and time  (A. Einstein)  Diffusion coefficient D affected by cell membranes, organelles, macromolecules (Le Bihan 1995)

Institute for Biomedical Engineering Anisotropy  Restrictions on water diffusion usually without spherical symmetry  anisotropic diffusion in biological tissue  Diffusion tensor (=3x3-matrix) instead of diffusion coefficient accounts for anisotropic diffusion in 3D  Principal diffusion direction: direction with largest diffusion coefficient Free Diffusion Restricted Diffusion rr rr rr

Institute for Biomedical Engineering  Example: nerve fibre  Diffusion perpendicular to fibre restricted  Water diffusion indicates white matter organization

Institute for Biomedical Engineering Diffusion and MRI  Diffusion leads to signal loss in MRI

Institute for Biomedical Engineering Diffusion gradients  Signal attenuation depends on diffusion coefficient and gradient waveforms  GE: sum of diffusion weighting gradients zero  SE: diffusion weighting gradients have equal area  Single shot techniques freeze out physical motion TETE 90° 180° diffusion gradient diffusion gradient EPI readout

Institute for Biomedical Engineering Diffusion weighted imaging DWI  b-value (=b-factor) describes diffusion weighting analogous to TE in T2 weighted sequences  b-value determined by diffusion weighting gradients (i.e. gradient form, strength, distance) signal b-factor [s/mm 2 ] S0: signal without diffusion weighting; D: diffusion coefficient in direction of gradient

Institute for Biomedical Engineering DTI  Ellipsoid represents diffusion tensor  Fibre structure via map of diffusion anisotropy: calculate fractional anisotropy (or relative anisotropy or volume ratio) P M MP S MS PS DWIs + Reference    3D ellipsoid ADC FA Color- coded FA

Institute for Biomedical Engineering  Principal diffusion coefficient and vector: longest axis of diffusion tensor

Institute for Biomedical Engineering  Brain structures via analysis of principle diffusion vectors Optic radiation Pons Middle cerebellar peduncle Corticospinal tract Corpus callosum Medulla Superior cerebellar peduncle Superior longitudinal fasciculus Medulla Tapetum

Institute for Biomedical Engineering IBT MR Angiography

Institute for Biomedical Engineering IBT Blood flow Image Slice Saturation: apply 90° slice-selective pulse Gradient echo imaging: Don’t wait for gradient echo  Bright signal from unsaturated spins in slice time Mz Stationary spins Inflowing spins saturation imaging MR Angiography