MR Contrast Mechanism - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

MR Contrast Mechanism

Description:

Know the different contrast generating mechanisms ... FIESTA, SSFP. Steady state free precession. GFEC Contrast. CS FAST, FADE. PSIF. T2 FFE ... – PowerPoint PPT presentation

Number of Views:68
Avg rating:3.0/5.0
Slides: 20
Provided by: mrsc3
Category:

less

Transcript and Presenter's Notes

Title: MR Contrast Mechanism


1
MR Contrast Mechanism
  • BioE 297 pulse sequence seminar
  • 7/7/2005 330
  • Donghyun Kim

2
Welcome,
  • Objective of todays talk
  • Know the different contrast generating mechanisms
  • Inter-relate different pulse sequences (that we
    will be looking into) in terms of contrast
    perspective
  • Think about contrast

3
Contrast
  • Measure of image quality
  • SNR, CNR (contrast to noise ratio)
  • Maximize CNR
  • Signal difference ?, noise ?
  • Imaging time, coil design, etc
  • Manipulate imaging parameters for ?signal
  • Often, CNR is sacrificed for SNR
  • Ex) filtering

4
What generates the contrast? (difference in
signal intensity)
  • Basic physical parameters
  • Proton density, T1, T2
  • Can we change these basic physical parameters?
  • B0 field
  • Contrast agents
  • Ex) Gd-DPTA dose of unpaired electrons
  • T1 shortening, T2 magnetic susceptibility effect
  • Magnetic field inhomogeneity
  • T2
  • BOLD (fMRI)
  • Flow of blood in active regions changes local
    magnetic field
  • dynamic susceptibility (ex perfusion imaging)
  • Contrast agent changes T2 with time
  • Motion
  • Phase contrast imaging
  • Phase sensitizing gradients are used to generate
    flow dependant phase
  • Diffusion
  • Brownian motion of water molecules depend on
    microstructure
  • Rich set of contrast mechanism is one of the most
    powerful aspects of MRI.

5
Basic physical parameters
Derivation from basic quantum physics with simple
assumptions
6
T1 weighted imageex) gray and white matter
  • Achieve contrast based on the difference of T1
  • Gray matter 920 ms, white matter 790 ms.
  • Signal amplitude is dependant on T1
  • Signal amplitude ? 1-exp(-t/T1)

TRmax ? (T1gray T1white)/2
  • Note WM (which has shorter T1) will have greater
    signal than GM (which has longer T1)
  • In T1 weighted image, longer T1 components are
    darker! (reversed intensity)

7
T1 weighted image
8
T2 weighted imageex) gray matter and white matter
  • Achieve contrast based on the difference of T2
  • Gray matter 101 ms, white matter 92 ms.
  • Signal amplitude is dependant on T2
  • Signal amplitude ? exp(-t/T2)

TEmax ? (T2gray T2white)/2
  • Sample at TE 95 ms (near the T2) to get maximum
    difference between gray and white matter
  • Engineering general rule of thumb
  • For exponential modeling, sample at the time
    constant

9
  • So, TE T2 then everything is fine
  • But, what is T2?
  • T2 varies with location
  • T2 varies with age (myelination)

10
  • CSF has too much signal
  • Suppress it! (FLAIR Fluid attenuated inversion
    recovery)
  • More dynamic range
  • Lecture 2

T2
FLAIR
11
T1, T2 summary
Gradient echo sequences, spin echo sequences
  • No contrast?
  • Is there any case where we want NO contrast?

Spin echo
  • Rapid GRE sequences (SSFP)
  • Complicated contrast composed of T1 and T2
    contributions
  • Ex) b-SSFP contrast dependant on T1/T2
  • Lecture 3

12
k-space perspective on contrast
  • Contrast mostly determined by samples near the
    k-space origin
  • Why?
  • k-space origin sum of intensity in image space
  • Eg) object intensity 100, noise intensity 0
  • k(0) 100, CNR 100
  • This sample point needed for accurate intensity
    measure
  • if k(0) 80 (due to sampling error), CNR 80
  • Therefore, samples near the origin critical for
    contrast.

13
  • If center k-space region so important for
    contrast, could oversampling of center k-space be
    used to manipulate contrast?
  • yes
  • Ex) KWIC algorithm
  • FSE radial sampling
  • oversampling
  • Use only data from certain echo train for center
    k-space region to manipulate contrast
  • Use different filter functions for more elegant
    contrast

T2
KWIC
KWIC algorithm, Song et al. MRM
14
Fat
  • Fat is always bright on T1 and T2 weighted image
  • Fat tells you nothing about weighting
  • On FSE (fast spin echo) image, fat is even
    brighter
  • Why?

15
Magnetic field inhomogeneity generated contrast
(T2 weighted)
  • Local susceptibility difference causes
    inhomogeneous field
  • T2 effect
  • local inhomogeneity
  • Ex)
  • Injection of magnetic particles (contrast agent)
  • Activation resulting in deoxyhemoglobin, which is
    paramagnetic

16
T2 weighting
  • Gradient echo sensitive to (local) inhomogeneity
  • Used for T2 weigthing
  • Signal decays exponentially as T2
  • Engineering rule of thumb TE T2
  • How do you measure T2?
  • Can you induce T2 weighting on spin echo?

17
weighting vs. mapping
  • Weighted images provide contrast from the
    difference in the measured property
  • Looking at relative values, not absolute values
  • T1 weighted image has contributions from T2
    weighting.
  • Mapping get absolute values
  • T1, T2, T2
  • Other physiological mapping T1-rho, pH,
    temperature
  • Lecture 7

18
Summary
  • T1 weighted image is inverted
  • Fat is always bright unless suppressed
  • Contrast dominated by center k-space region
  • Resolution dominates outer k-space region
  • Engineering general rule of thumb
  • Exponential modeling case
  • Sample at time constant for maximum sensitivity
  • TR T1 for T1 weighted image 1-exp(-t/T1)
  • TE T2 for T2 weighted image exp(-t/T2)
  • TE T2 for T2 weighted image exp(-t/T2)
  • b value corresponding to D for dwi exp(-bD)

19
(No Transcript)
Write a Comment
User Comments (0)
About PowerShow.com