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Tissue Contrast
• intrinsic factors
–relative quantity of protons
• tissue proton density
–relaxation properties of tissues
• T1 & T2 relaxation
• secondary factors
–flow
–contrast agents
Contrast
• the ability to discriminate different
tissues based on their relative
brightness
Basic Principle
• relatively intermediate intensity
structures look bright on a dark
background
–important to remember with fatsat
• relatively intermediate intensity
structures look dark on a light
background
Caveat
• windowing affects the relative
contrast of tissues
–intensity values of pixels are relative
to one another, unlike CT
• windowing can make a solid tumor
look like a “cyst”
T1 SET2 FSE
“CYST”“CYST”
T1 SET2 FSE
CYST?CYST?
T2 FSE T2 FSE
CYST?CYST?
Summary
• need visible differences in intensity
to discriminate tissues
• surrounding tissues can make an
intermediate signal tissue appear
dark or bright
• windowing affects image and tissue
contrast
Noise
• constant at a given machine setup
• reduces the ability to visualize low
contrast structures
• adds to or subtracts from the
average signal intensity of a given
pixel
Noise
• increasing the available signal will
reduce the relative effects of noise
• machine parameters must be
chosen to maximize signal without
significantly extending exam times
• S/N is a relative measure allowing
for comparison in a variety of
circumstances
frequency
SI
frequency
SI
Signal versus Noise
• high signal
• high SNR
• low signal
• low SNR
Noiseless Conditions
0
10
20
30
40
50
60
70
80
90
100
Tissue A Tissue B
Tissue Type
RelativeSignalIntensity
High Signal/Low Noise
0
10
20
30
40
50
60
70
80
90
100
Tissue A Tissue B
Tissue Type
RelativeSignalIntensity
Low Signal/High Noise
0
10
20
30
40
50
60
70
80
90
100
Tissue A Tissue B
Tissue Type
RelativeSignalIntensity
Noiseless Conditions
0
10
20
30
40
50
60
70
80
90
100
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
Relative Pixel Location
RelativeSignalIntensity
High Signal/Low Noise
0
10
20
30
40
50
60
70
80
90
100
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
Relative Pixel Location
RelativeSignalIntensity
Low Signal/High Noise
0
10
20
30
40
50
60
70
80
90
100
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
Relative Pixel Location
RelativeSignalIntensity
Image Contrast
100% noise
Image Contrast
80% noise
Image Contrast
60% noise
Image Contrast
40% noise
Image Contrast
20% noise
Image Contrast
0% noise
Factors Affecting SNR
• strength of main magnet
• coil selection
• voxel size
• phase encoding
• number of averages
• receiver bandwidth
• pulse sequence parameters
SNR
SNR K voxel size
measurements
bandwidth
= • •( )
• stronger main magnet
• proper imaging coil
• larger voxel size
• decreased phase encoding
• increased number of averages
• decreased receiver bandwidth
• (pulse sequence parameters)
Factors INCREASING SNR
Stronger Main Magnet
S/N effect Downside
• linear increase • less T1 weighting
at high fields
• increased
chemical shift
effects in RO
direction
Coil Selection
S/N effect Downside
• increase in signal
with surface coils
• quadrature
provides 40%
increase S/N over
linear
• phased array
increased over
quadrature
• limited coverage
with surface coils
• more complex
coils are more
expensive
Larger Voxel Size
S/N effect Downside
• linear increase in
either RO or PE
direction
• linear increase
with increased
slice thickness
• decreased
resolution
Decreased Phase Encodings
S/N effect Downside
• square root
increase in signal
to noise
• linear decrease in
scan time
• decreased
resolution in PE
direction
• Gibb’s
phenomenon in
PE direction
Increased Signal Averages
S/N effect Downside
• square root
increase in signal
to noise
• linear increase in
scan time
Decreased Receiver BW
S/N effect Downside
• square root
increase in signal
to noise
• increase in
chemical shift
artifact in RO
direction
Pulse Sequence Parameters
• SE imaging
–increased TR provides nonlinear
increase in SNR with linear increase
in scan time
–decreased TE provides nonlinear
increase in SNR with no effect on
scan time and less T2 weighting
Pulse Sequence Parameters
• GE imaging
–complex effects
–maximum SNR typically between 30
and 60 degrees
–long TR sequences (2D)
• increase SNR with increased flip angle
–short TR sequences (TOF & 3D)
• decreased SNR with increased flip angle
SNR Application
• pituitary imaging
–baseline:
• 16 cm FOV, 3 mm slice thickness, 192
phase encodes, 4 NEX
–new goal:
• reduced scan time, same SNR
FOV RO PE
Slice
Thickness
(mm) NEX
Imaging Time
(TR=500
msec)
Relative
SNR
160 256 192 3 4 6.40 43.30
160 256 170 4 2 2.83 43.39
190 256 192 3 2 3.20 43.18
160 256 144 3 3 3.60 43.30
SNR Example
Fat Suppression and SNR
• non fat-suppressed image
–each image pixel comprised of signal
from water and fat in the imaging
voxel
• fat-suppression
–reduces total signal by suppression of
fat from the voxel
–reduces SNR
frequency
SI
frequency
SI
Fat Suppression
• without fat
suppresion
• high SNR
• with fat
suppression
• lower SNR
water
plus
fat water only

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