Digital Signal Processing Reference
In-Depth Information
gradient. But what we achived is the sampled value gives the information about
T
2
(
x
,
y
)
(
G
x
,
−
G
y
)
, not
(
G
x
,
G
y
)
.
2.8.3 T
2
MRI Image Using Spin-Echo and Polar Scanning
1. Steps 1-3 are performed similar to the technique mentioned in the Sect.
2.8.1
.
2. Thus the currently obtained transverse component is given by
t
T
2
(
x
,
y
)
−
e
j
(
−
γ(
B
0
)τ
p
+
φ)
e
j
(
−
γ(
B
0
)
t
)
e
M
xy
(
x
,
y
,
t
)
=
2
M
0
sin
(α
τ
p
/
2
)
.
3. Apply both
G
x
and
G
y
gradient simulataneously for the time duration
τ
xy
, so that
the transverse components become the following.
e
j
(
−
γ(
B
0
)τ
p
+
φ)
e
j
(
−
γ(
B
0
+
G
y
y
+
G
x
x
)τ
xy
)
M
xy
(
x
,
y
,
t
)
=
2
M
0
sin
(α
τ
p
/
2
)
e
j
(
−
γ(
B
0
t
))
e
−
(
t
+
τ
xy
)
×
T
2
(
x
,
y
)
4. The technique used in the steps 4-7 of the Sect.
2.8.2
are adopted.
5. Read-out phase starts immediate after some time (required time for rephasing)
after applying 180
◦
pulse along with the positive
x
-gradient
G
x
and positive
y
-
gradient
G
y
for the duration of
τ
xy
. The resultant transverse component during
read-out phase is given as
e
j
(
+
γ(
B
0
)τ
p
−
φ
n
(
x
,
y
,
t
))
M
xy
(
x
,
y
,
t
,
n
)
=
2
M
0
sin
(α
τ
p
/
2
)
n
n
e
j
(
+
γ(
B
0
+
G
x
x
+
G
y
y
)τ
xy
)
e
j
(
−
γ((
B
0
+
G
x
x
+
G
y
y
)
t
))
.
×
6. After time duration of
τ
xy
, there is the cancellation of the phase introduced due to
G
x
and
G
y
gradient (upto step 4). This is gradient echo. This helps to synchronize
the hardware to sample the magnitude of
s
(
t
)
at the end of the reading phase
2
τ
x
corresponding to the particular location in the K-space. This step is same as
that of the one used in phase gradient. But what we achived is the sampled value
gives the information about
T
2
(
x
,
y
)
.
8. This is the polar version of the technique used in Sect.
2.8.2
. The main difference
is that the gradients are applied simultaneously. Also the value of
G
x
and
G
y
are
changed in such a way that the samples of the k-space (frequen
cy domian
) are
uniformly scanned over the variables
r
and
(
−
G
x
,
−
G
y
)
G
x
+
G
y
)
θ
, where
r
=
(
and
tan
−
1
G
y
G
x
.
θ
=
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