Title: T2* revision
1T2 revision
2Vector coherence
Schering
3Dephasing
Spins will precess at slightly different
frequencies due to variations in the local
magnetic field
Time
It is often easier to understand this dephasing
is a frame of reference that is rotating at the
average frequency of spins
Time
4T2 artefacts
Good(ish) shim
Phantom with coin near it
Bad shim
5Resting cortex
Blood cells containing deoxy- and oxy-
haemoglobin
6Active cortex
Blood flow Blood volume Blood oxygenation
Glucose and O2
Arteriole
Venule
Capillary Bed
Glucose and O2
7Assumed monoexponential Decay rate is R2
M
xy
M
o
Active Rest
0.5
x
Time after pulse
z
-0.5
8BOLD effect due to T2 effects around blood
vessels
91 March 2009 Nature
How do people maintain an active representation
of what they have just seen moments ago? The
visual areas of the cerebral cortex that are the
first to receive visual information are
exquisitely tuned to process incoming visual
signals, but not to store them. On the other hand
brain areas responsible for memory lack visual
sensitivity, but somehow people are able to
remember a visual pattern with remarkable
precision for many seconds, actually, for as long
as they keep thinking about that pattern.
101 March 2009 Nature
Our question was, where is this precise
information being stored in the brain? "Using a
new technique to analyze fMRI data, we've found
that the fine-scale activity patterns in early
visual areas reveal a trace or something like an
echo of the stimulus that the person is actively
retaining, even though the overall activity in
these areas is really weak after the stimulus is
removed,.
11Phospholipid structures
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13Blood brain barrier
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18Central sulcus
departments.weber.edu/chfam/2570/Neurology.html
19Sensory areas of the brain
From FMRIB, Oxford
20Magnetic forces
Positive susceptibility object attracted
Ferromagnetic
Paramagnetic
Diamagnetic
Susceptibility
0
-1
?
Negative repelled
Positive attracted
21Magnetic forces
Negative susceptibility object repelled or
levitated
Ferromagnetic
Paramagnetic
Diamagnetic
Susceptibility
0
-1
?
Negative repelled
Positive attracted
22Magnetic forces
Superconductors -1
Permanent magnets 106
Deoxyg. Blood -6.52 10-6
Water -910-6
Air (oxygen) 0.36 10-6
Ferromagnetic
Paramagnetic
Diamagnetic
Susceptibility
0
-1
?
Negative repelled
Positive attracted
23Red blood cells
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25Special dissociation curves
CO stop haemoglobin giving up oxygen
Fetal blood preferentially takes up oxygen in
placenta
26Effect of dHb on relaxation times
27Assumed monoexponential Decay rate is R2
M
xy
M
o
Low dHb High dHb
0.5
x
Time after pulse
z
-0.5
28a
b
291/T2 against dHb for blood at 7T
30Resting cortex
Blood cells containing deoxy- and oxy-
haemoglobin
31Active cortex
Blood flow Blood volume Blood oxygenation
Glucose and O2
Arteriole
Venule
Capillary Bed
Glucose and O2
32Spins will precess at slightly different
frequencies due to variations in the local
magnetic field
Time
It is often easier to understand this dephasing
is a frame of reference that is rotating at the
average frequency of spins
Time
33Lights on
Lights on
Lights on
a
60
0
30
Bold signal
b
Time (s)
34Heamodynamic response function
Bold signal
Stimulus
Time (s)
8 s
Initial dip
Post stimulus undershoot
35Heamodynamic response function (effect of adding
CA)
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37Effect of echo time
7 T
TE
18
25
34
43
38BOLD timecourses
Time course of signal change at optimum TE for
each field strength averaged over subjects
Cycle average for each field strength. Rising
edge of response intersects base-line earlier at
higher field.
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41Minimize the sum of squared differences between
images
42Image registration (From Welcome Functional
Imaging Lab)
43Image registration (From Welcome Functional
Imaging Lab)
- Minimising mean-squared difference works for
intra-modal registration (realignment) - Simple relationship between intensities in one
image, versus those in the other - Assumes normally distributed differences
44Image registration (From Welcome Functional
Imaging Lab)
45Statistical analysis(From Welcome Functional
Imaging Lab)
46Convolution of paradigm with HRF
47Cross Correlation
From MNI
48Dont forget to Fill IN thE National Student survey
49Somatotopic mapping
50Post Central Gyrus Area 1
Dystonia
Normals
Centre of activation separation Normals(6) 11 ?
2 mm Dystonics (5) 4.4 ? 0.9 mm p0.00048
Little Finger
Index Finger
Both Fingers
51Recovery from stroke
Motor task in relation to a small lesion
52BBC In search of Perfection- Heston Blumentahl
53Response to fat
Correlation of BOLD response with all attributes
of oral fat delivery
Areas with a positive correlation of BOLD
response with fat concentration
54Different fat levels
55Supertaster effect
56Fetuses response to auditory stimulus(Motion
correction quite a challenge)
57Cochlear implant Cochlear Stimulation
58fMRI Cochlear Stimulation
250 Hz, biphasic right cochlear stimulation (9V)
L
R
Collaboration with C. Ludman (Radiology), S.
Mason (Medical Physics), G. ODonoghue
(Otolaryngology)
59Arterial Spin Labelling
60Possible labelling scheme
- Could measure perfusion like this
Blood flow
61Magnetization transfer
- Could measure perfusion like this
- The inversion pulse is off-resonance to slice
- Might expect it to have no effect on slice
- It does because of magnetization transfer
- Exchange between bound and free protons
Blood flow
62EPISTAR
Blood flow
Compare TAG and CONTROL conditions TAG tag
arterial blood that will exchange with
tissue CONTROL tag venous blood
63Perfusion
- Brain signal comes from mixture of tissue and
blood - Water assumed to be freely diffusible tracer
exchanging between capillary and tissue - Exchange time assumed to be zero
- Not quite true
IN
OUT
64Blood brain partition coefficient
- There are
- 80.5 g water /100g blood
- 84.0 g tissue /100g grey matter
- Blood flowing in has more magnetization per unit
volume than tissue - Blood brain partition coefficient l
- water content of brain 0.98
water content of blood
65Transit time
- It takes the labelled blood a finite time to
reach the voxel - And the even longer to reach the capillary
- This must be taken account of in models
Transit Time
Blood flow
66Kinetic model
- IF Mz is equal at start of tag and control
conditions is same - Then different signal is given convolution
Difference
Mz
Tag Control
67Kinetic model
Transit time
Arterial input function Depends on tagging scheme
Time after tag applied
Transit time
68Kinetic model
Residue Function Amount of contrast remaining
after a time t
Input function
r(t)
Time
69Kinetic model
r(t)
r(t)
Time
Time
70Magnetization decay function Describes T1
relaxation of tag
71Labelling schemes
FAIR (flow alternating inversion recovery)
Blood flow
- Blood in slice follows inversion recovery
- Blood outside slice alternates between
- following inversion recovery and
- being at equilibrium (Mo)
72Kidney ASL Dr Francis