Basics of Magnetic Resonance Imaging Angular Momentum Orbital Angular Momentum   L  mr  v Principles of Medical Imaging – Shung, Smith.

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Transcript Basics of Magnetic Resonance Imaging Angular Momentum Orbital Angular Momentum   L  mr  v Principles of Medical Imaging – Shung, Smith.

Basics of Magnetic Resonance Imaging
Angular Momentum
Orbital Angular Momentum
 
L  mr  v
Principles of Medical Imaging – Shung, Smith and Tsui
Angular Momentum
Spin Angular Momentum
Spin is an intrinsic property
of the nucleons (protons
and neutrons) in a nucleus
HOWEVER –
The name doesn’t mean that
spin results from the nucleons
rotating about an axis!!!
http://svs.gsfc.nasa.gov/vis/a000000/a001300/a001319/
Spin Angular Momentum
Spin is quantized – it can only take certain values
Lz  mI 
mI  I , I  1, I  2,... I
Here I is the total spin quantum number of the
nucleus. The proton has I = ½. Lz is the
angular momentum due to that spin.
Spin Angular Momentum
To get the total spin of a nucleus we add up
(separately) the spins of the protons and neutrons
15N
has spin ½ .
We do pairwise
addition:
7 protons
8 neutrons
Only nuclei with an odd number of protons
or neutrons will be visible to MRI
Note: 14N has spin 1.
Alignment of Spins in a Magnetic Field, B0
The spin angular momentum yields
a magnetic moment
μ m  L z
Principles of Medical Imaging – Shung, Smith and Tsui
Energy Levels of Spins and B0
Principles of Medical Imaging – Shung, Smith and Tsui
Energy Levels and Spin
E1 = B0
E2 = -B0
E = E1 - E2 = 2 B0
= (h/2) B0 for spin-1/2 particles
B0 is the main magnetic field
Energy Level Population and Field Strength
2,000,000
999,999
999,995
1,000,002
1,000,005
999,987
1,000,014
B0 = 0
n = 0
B0 = 0.5T
n = 3
B0 = 1.5T
n = 10
B0 = 4.0T
n = 27
Spins are distributed according to the Boltzmann distribution
( Nupper / Nlower )  eE / kT
Larmor Frequency
  B0
Principles of Medical Imaging – Shung, Smith and Tsui
Excitation Energy and Frames of Reference
B0
Beff
B0 = main magnetic field
B1 = applied field (pulse)
Beff = vector sum B0+B1
B1
z
z


y
y
x
lab frame
x
rotating frame
Net Magnetization, M, and the
Rotating Frame
While B1  0, M
precesses around B1
z
z
M
M
y
y
B1
x
x
B0  0
B1 = 0
B0  0
B1  0
Net Magnetization, M, and the
Rotating Frame
We turn B1 “on” by a applying radiofrequency (RF) to the
sample at the Larmor frequency. This is a resonant
absorption of energy.
If we leave B1 on just long enough for M to rotate into the x
- y plane, then we have applied a “90 pulse”. In this case,
Nupper = Nlower.
If we leave B1 on just long enough for M to rotate along the
-z axis, then we have applied a “180 pulse” (inversion).
In this case, Nupper = Nlower + M.
Free Induction Decay
What is the effect of applying a 90  pulse?
/2
RF
time
Free Induction Decay
The effect of a 90 pulse is to rotate M into the x - y
(transverse) plane. If we place a detection coil (a loop of wire)
perpendicular to the transverse place, we will detect an induced
current in the loop as M precesses by (in the lab frame).
z
Minitial
y
B1
Mfinal
x
Principles of Medical Imaging – Shung, Smith and Tsui
Signal Processing of Free Induction Decay
Principles of Medical Imaging – Shung, Smith and Tsui
We can characterize the signal by its:
Amplitude
Phase
Fourier Transform
Frequency
Signal Processing of Free Induction Decay
We see that after a 90 pulse, we get a cosinusoidal signal.
To quantitatively describe the signal we
calculate its Fourier transform.
(think: Larmor frequency)
Principles of Medical Imaging – Shung, Smith and Tsui
Fourier Transform of Time Domain Data
http://www.med.harvard.edu/JPNM/physics/didactics/improc/intro/fourier3.html
Image Contrast (I)
We can detect the signal from water molecules in the
body.
Can we make an image?
Will it be a useful image?
Relaxation Processes
Fortunately for us, the signal we get from water molecules
in the body depends on their local environment.
Spins can interact by exchanging or losing energy (or both).
As in all spectroscopy methods, we put energy into the
system and we then detect the emitted energy to learn
about the composition of the sample.
We then use some variables to characterize the emission of
energy which (indirectly) tell us about the environment of
the spins.
Image Contrast!
Relaxation Processes (T2)
1. Spin-spin relaxation time (T2): when spins interact
With each others magnetic field, they can exchange
energy (perform a spin flip). They can lose phase
coherence, however. Only affects Mxy.
Signal without T2
interaction between
spins
T2*
http://irm-francophone.com/htm/signal.htm
Signal including T2
interactions between
spins
T2*???
T2* and T2
T2 is an intrinsic property of the sample. This is what
we are interested in to use for contrast generation.
T2* is the time constant of the decay of the free
induction decay. It is related to the intrinsic T2 in the
following way:
1
1
1
1
  inhomogeneity  susceptibility
*
T2 T2 T2
T2
sample
only
depends upon the local
magnetic field
T2* and T2
1
1
1
1
  inhomogeneity  susceptibility
*
T2 T2 T2
T2
random
process
Not a random
process
Inhomogeneity term - dephasing due to magnet (B0)
imperfections depends upon position
Susceptibility term - dephasing due to the interaction of
different sample regions with B0
(depends upon position)
Relaxation Processes (T2)
/2 pulse
 (delay)
Effect of Spin Coherence on Signal
z
y
x
z
T2*
y
x
http://irm-francophone.com/htm/signal.htm
Irreversible versus Reversible
http://www.cchem.berkeley.edu/demolab/images/HahnEchoSpinRes.htm
Start
Reverse
Hahn Spin Echo Pulse Sequence
http://www.esr.ethz.ch/intro/spinecho.html
http://www.chem.queensu.ca/FACILITIES/NMR/nmr/webcourse/t2.htm
Hahn Spin Echo and T2
We can calculate T2 by changing the echo
spacing, , and recording the signal at 2.
http://spiff.rit.edu/classes/phys273/exponential/exponential.html
S (2 )  e
Signal
Echo spacing , 
2 / T2
Spin-Lattice Relaxation, T1
To look at the behavior of the longitudinal
component of M (Mz), we start by putting M along
the -z axis and then read it out with a 90 pulse.
M z  M 0 (1  2e
TI / T1
)
Spin-Lattice Relaxation, T1
Energy levels and Inversion
Equilibrium
Net
Magnetization:
=
After Inversion
=
Relaxation Processes (T1)
 pulse
short TI
long TI
/2 pulse
/2 pulse
Image Contrast and T1
In (a) the TI is chosen to null the signal from
curve [ii], while the TI in (b) nulls out [i]
http://www.fmrib.ox.ac.uk/~stuart/thesis/chapter_2/section2_4.html
Now Can We Make A Useful Image?
Magnetic Resonance Imaging
Magnetic Resonance Image Formation
What do we need?
1. Ability to image thin slices
2. No projections - image slices with arbitrary orientation
3. Way to control the spatial resolution
4. Way to carry over the spectroscopic contrast mechanisms
to imaging.
Magnetic Resonance Image Formation
  B0
signal  A sin(t   )
How can we spatially encode this signal?
Principles of Medical Imaging – Shung, Smith and Tsui
Magnetic Resonance Image Formation
- Slice Selection
Magnetic field gradients: B = B(position)
Beff  B0  Gz z
eff   (B0  Gz z)
Gz z  B0
precessional frequency is
now a function of position
Magnetic Resonance Image Formation
- Slice Selection
2 ( )
z 
Gz
 = frequency bandwidth
z = slice thickness
MRI: Basic Principles and Applications - Brown, Semelka
Magnetic Resonance Image Formation
- Slice Selection
How do we excite only a slice of spins?
Fourier Pairs!
sinc
rect
FT
time
frequency
Magnetic Resonance Image Formation
- Phase Encoding
So far we have a slab of tissue whose spins are
excited. The next step is to place a grid over
the slab and define pixels.
Magnetic Resonance Image Formation
- Phase Encoding
Beff  B0  Gy y
Gy
 eff


( B0  G y y )
2
eff < 0
eff > 0
Center of
magnet
Magnetic Resonance Image Formation
- Phase Encoding
Apply gradient for a finite duration   = (y)
(the phase of M over each region of the sample depends
upon it’s position)
This is because the gradient makes each spin precess with
an angular frequency that depends on it’s position. For
the duration of the gradient, t, spins move faster or slower
than 0 depending upon where they are. After the gradient
is turned off, all spins again precess at 0.
The phase accumulated
during time, t, is:
  Gy yt
Magnetic Resonance Image Formation
- Phase Encoding
z’
M after a 90
pulse
y’
x’
Turn on the phase encoding gradient
z’
z’
y’
x’
Gy = 0
z’
y’
x’
Gy < 0
y’
x’
Gy > 0
Magnetic Resonance Image Formation
Frequency Encoding (Readout)
Now we need to encode the x-direction...
How do we spatially encode the
frequency of the signal?
Can we turn on another gradient?
When? And for how long?
Magnetic Resonance Image Formation
Frequency Encoding (Readout)
We apply a gradient while the signal is being acquired
as the spin-echo is being formed.
/2

RF
Signal
Gx
time
Therefore, the precessional frequency is a function of position
Magnetic Resonance Image Formation
Spin-echo Pulse Sequence
?(3)
? (1)
?(2)
http://spl.harvard.edu:8000/pages/papers/zientara/fast/fastimaging.html
(1)
Phase Encoding:
Each acquisition
is separately encoded
with a different phase.
The sum total of the N
acquisitions is called
the ‘k-space’ data.
The Effect of Frequency Encoding on the
Signal (dephasing gradient)
(2)
MRI: Basic Principles and Applications - Brown, Semelka
(3)
z
y
Slice-select
refocusing
gradient
x
The effect of having the gradient on during the time that
the magnetization is moving from the z-axis to the y-axis is
to curve the path. In general, one needs to apply a slice
refocussing gradient of opposite magnitude after the RF
pulse so that the spins are in phase at the end of the pulse.
The area of the negative gradient must be one half the area
of the slice selection gradient pulse.
Structure of MRI Data: k-space
k-space
256 x 256 points
A/D, 256 points
row 40                  
row -55                  
view 40
view -55
view -128
row -128                  
kx = frequency
ky = phase
http://www.indyrad.iupui.edu/public/lectures/mri/iu_lectures/mri_homepage.htm
Structure of MRI Data: k-space
What is k-space?
The time-domain signal that we collect from each
spatially encoded spin echo gets put in a matrix.
This data is called k-space data and is a space of
spatial frequencies in an image.
To get from spatial frequencies to image space
we perform a 2-D Fourier Transform of the
k-space data.
General intensity level is represented by low spatial
frequencies; detail is represented by high spatial freq’s.
low spatial
frequencies
high spatial
frequencies
all
frequencies
http://www.indyrad.iupui.edu/public/lectures/mri/iu_lectures/mri_homepage.htm
Structure of MRI Data: k-space
FT
k-space data
image data
http://www.jsdi.or.jp/~fumipon/mri/K-space.htm