Transcript Document

FMRI acquisition
Richard Wise
FMRI Director
[email protected]
+44(0)20 2087 0358
Why do we need the magnet?
d
Inside an MRI Scanner
z gradient coil
r.f. transmit/receive
x gradient coil
super conducting magnet
subject
gradient coils
Common NMR Active Nuclei
Isotope
Spin
I
%
abundance
g
MHz/T
1H
1/2
1
1/2
1
1/2
5/2
1/2
3/2
1/2
99.985
0.015
1.108
99.63
0.37
0.037
100
100
100
42.575
6.53
10.71
3.078
4.32
5.77
40.08
11.27
17.25
2H
13C
14N
15N
17O
19F
23Na
31P
Nuclear Spin
M
magnetic moment
M=0
spin
If a nucleus has an unpaired proton it will have spin
and it will have a net magnetic moment or field
Resonance
• If a system that has an intrinsic
frequency (such as a bell or a
swing) can draw energy from
another system which is oscillating
at the same frequency, the 2
systems are said to resonate
Spin Transitions
High energy
Low energy
The Larmor Frequency
ω=γB
Frequency  Field strength
128 MHz at 3 Tesla
Tissue magnetization
B0
M
90º RF excitation pulse
Tissue magnetization
B0
M
90º RF excitation pulse
MR signal ω
=γB
Tissue magnetization
B0
M
90º RF excitation pulse
.
MR signal ω
=γB
Tissue magnetization
B0
90º RF excitation pulse
MR signal ω
=γB
signal
Signal decay: time constant T2
time
Tissue contrast: TE &T2 decay
Echo
Amplitude
Long T2 (CSF)
Medium T2
(grey matter)
Contrast
Short T2
(white matter)
TE
T2 Weighted Image
T2 Weighted Image
T2/ms
CSF
grey matter
500
8090
white matter
7080
1.5T
SE, TR=4000ms, TE=100ms
SE, TR=4000ms, TE=100ms
Tissue magnetization
B0
M
M
Magnetization recovery: time constant T1
time
Tissue magnetization
B0
M
M
Magnetization recovery: time constant T1
time
Tissue contrast: TR & T1 recovery
Short T1 (white matter)
Mz
Medium T1 (grey
matter)
Contrast
Long T1 (CSF)
TR
T1 Weighted Image
SPGR, TR=14ms, TE=5ms, flip=20º
T1 Weighted Image
white matter
grey matter
CSF
T1/s
R1/s-1
0.7
1
1.43
1
4
0.25
1.5T
SPGR,
SPGR,TR=14ms,
TR=14ms,TE=5ms,
TE=5ms,flip=20º
flip=20º
Long TR
Short TR
T1
PD
Short TE
T2
Long TE
From Frequencies to Images
• Vary the field by position
• Decode the frequencies
to give spatial information
Gradient coils
z gradient coil
r.f. transmit/receive
x gradient coil
super conducting magnet
subject
gradient coils
Image formation
Fourier
Transform
time
frequency
Signal
Spectrum
The Fourier Transform
FFT
n n
2x2
Slice selection
RF excitation
ω=γB
time
G
0
frequency
(Gradient echo) Pulse sequence
The Pulse Sequence Controls
•
•
•
•
•
Slice location
Slice orientation
Slice thickness
Number of slices
Image resolution
– Field of view (FOV)
– Image matrix
• Echo-planar imaging
• Image contrast
– TE, TR, flip angle,
diffusion etc
• Image artifact
correction
– Saturation, flow
compensation, fat
suppresion etc
T2* : pleasure …..
T2* : ….. and pain
T2* contrast
T2* contrast
• Field variation across the sample
• Decay of summed NMR signal
GE-EPI is T2* weighted
Wilson et al Neuroimage 2003
Neural activity to FMRI signal
Neural activity
Signalling
Vascular response
Vascular tone (reactivity)
Autoregulation
Synaptic signalling
BOLD signal
Blood flow,
oxygenation
and volume
arteriole
B0 field
glia
Metabolic signalling
venule
FMRI and electrophysiology
Logothetis et al,
Nature 2001
Haemodynamic response
balloon model
%
-1
initial dip
undershoot
Buxton R et al. Neuroimage 2004
Blood oxygenation
Bandettini
Bandettini
andand
Wong.
Wong.
Int.Int.
J. Imaging
J. Imaging
Systems
Systems
andand
Technology.
Technology.
6:133
6:133
(1995)
(1995)
Rest
O2 Sat 100%
80%
O2
O2
60%
O2
Active: 40% increase in CBF, 20% increase in CMRO2
O2 Sat 100%
86%
CMRO2 = OEF  CBF
72%
CMRO2: CBF ratio
Hoge R et al
Signal evolution
• Deoxy-Hb contribution to relaxation
R2*  (1-Y) CBV
Y=O2 saturation
b~1.5
• Gradient echo
S = Smax . e-TE/R2*
• Longer TE, more BOLD contrast but less signal and more
dropout/distortion. TE=T2*
Vessel density
500 m
100 m
Harrison RV et al. Cerebral cortex. 2002
Resolution Issues
• Spatial Resolution
– How close is the blood flow response to the
activation site (CBF better?)
– Most BOLD signal is on the venous side
– EPI is “low res”
– Dropout and distortion
• Slice orientation
• Slice thickness
• Temporal Resolution
Factors affecting BOLD signal?
• Physiology
– Cerebral blood flow (baseline and change)
– Metabolic oxygen consumption
– Cerebral blood volume
• Equipment
– Static field strength
– Field homogeneity (e.g. shim dependent T2*)
• Pulse sequence
– Gradient vs spin echo
– Echo time, repeat time
– Resolution
Physiological baseline
• Baseline CBF,
• But CBF CMRO2 unchanged (Brown et al JCBFM 2003)
• BOLD response 
Cohen et al JCBFM 2002
Noise sources
• What is noise in a BOLD experiment?
– Unmodelled variation in the time-series
– Intrinsic MRI noise
• Independent of field strength, TE
• Thermal noise from subject and RF coil
– Physiological noise
• Increases with field strength, depends
on TE
• At 3T physiological noise > intrinsic
• Cardiac pulsations
• Respiratory motion and B0 shift
• Vasomotion, 0.1Hz
• Blood gas fluctuations
• “Resting state” networks
– Also
• Scanner drift (heating up)
BOLD Noise structure
• 1/f dependence
BOLD noise
– BOLD is bad for
detecting long timescale activation
frequency
Spatial distribution of noise
• Motion at intensity boundaries
– Head motion
– Respiratory B0 shift
• Physiological noise in blood vessels and grey
matter
Thanks to …
John Evans
Rami Niazy
Martin Stuart
Spiro Stathakis