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Adv
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t
ic
u
la
r
l
y
r
e
l
ev
an
t
to
th
e
s
e
c
t
o
r
o
f
h
ea
l
t
h
c
ar
e
d
a
t
a
s
u
c
h
a
s
i
n
f
o
r
m
a
t
i
o
n
f
r
o
m
c
l
in
i
c
a
l
t
r
i
a
l
s
,
d
i
s
e
a
s
e
h
e
a
l
th
r
ec
o
r
d
s
,
a
n
d
m
ed
i
c
a
l
d
e
v
i
ce
s
i
s
i
n
c
r
e
a
s
in
g
d
r
a
s
t
i
ca
l
l
y
w
i
t
h
1
0
x
y
e
ar
o
n
y
e
a
r
d
u
e
to
m
u
l
t
ip
l
e
d
i
s
e
a
s
e
s
a
n
d
n
e
w
p
a
t
t
e
r
n
s
o
f
m
u
t
a
t
io
n
s
[
5
]
.
T
h
i
s
d
a
t
a
w
i
l
l
h
e
lp
an
d
p
r
o
v
i
d
e
m
an
y
s
o
l
u
t
i
o
n
s
o
f
h
e
a
l
th
c
ar
e
,
i
t
m
e
a
n
s
b
e
t
t
er
h
e
a
l
th
,
le
s
s
e
x
p
en
d
i
tu
r
e
a
n
d
en
h
an
c
ed
p
a
ti
e
n
t
ex
p
er
i
e
n
c
e
an
d
im
p
r
o
v
e
h
e
a
l
t
h
c
a
r
e
i
n
d
u
s
t
r
y
.
H
ea
l
t
h
ca
r
e
co
n
s
u
m
e
r
s
h
a
v
e
b
e
t
t
e
r
o
p
t
i
o
n
t
o
c
h
o
o
s
e
b
e
s
t
m
e
d
i
c
in
e
,
ta
k
in
g
c
o
r
r
e
c
t
d
e
c
is
i
o
n
p
r
o
p
e
r
c
a
r
e
.
B
u
t
f
r
o
m
t
h
e
h
e
a
l
th
c
ar
e
p
o
i
n
t
o
f
v
i
e
w
,
i
t
w
i
l
l
i
n
c
r
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a
s
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th
e
i
n
v
e
s
t
m
e
n
t
s
o
n
d
ev
i
c
e
s
an
d
m
a
n
p
o
w
er
,
t
h
i
s
w
i
l
l
in
c
r
ea
s
e
t
h
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b
u
d
g
e
t
;
to
m
i
t
i
g
a
t
e
t
h
e
p
r
o
b
l
em
n
e
ed
a
f
f
o
r
d
a
b
le
e
q
u
i
p
m
e
n
t
w
i
t
h
a
cc
u
r
a
t
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r
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u
l
t
s
a
n
d
a
t
th
e
s
a
m
e
t
i
m
e
g
o
o
d
e
f
f
i
c
i
e
n
c
y
i
s
i
m
p
o
r
t
a
n
t
[
6
]
.
G
e
t
t
in
g
r
ig
h
t
d
a
t
a
,
r
i
g
h
t
an
a
l
y
s
i
s
i
s
k
ey
c
h
a
ll
e
n
g
e
s
t
o
o
.
Me
d
i
ca
l
in
d
u
s
t
r
y
l
o
o
k
i
n
g
f
o
r
d
ig
i
t
a
l
e
x
p
er
i
e
n
c
e
th
a
t
r
e
i
n
f
o
r
c
e
s
h
e
al
t
h
y
,
p
r
e
v
en
t
i
v
e
b
e
h
av
i
o
r
s
[
7
]
.
B
u
t
h
a
v
in
g
r
e
a
l
s
c
e
n
ar
i
o
s
,
d
a
ta
m
a
n
ip
u
la
t
i
o
n
an
d
m
a
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n
t
a
in
d
a
t
a
b
a
n
k
i
s
h
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g
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b
u
r
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e
n
w
i
th
c
l
a
s
s
i
c
a
l
c
o
m
p
u
t
er
s
;
t
h
i
s
w
i
l
l
ta
k
e
l
o
n
g
t
i
m
e
t
o
d
o
t
h
e
j
o
b
s
[
8
]
.
An
d
t
h
i
s
w
i
l
l
o
p
e
n
t
h
e
n
e
w
p
a
th
an
d
f
in
d
in
g
w
a
y
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t
o
o
v
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c
o
m
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th
e
ch
a
l
l
en
g
e
s
.
T
h
e
s
e
o
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t
co
m
e
s
th
e
s
o
lu
t
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o
n
a
n
d
p
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v
id
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n
h
a
n
ce
d
f
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l
d
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y
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g
q
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a
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m
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o
m
p
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in
g
.
Q
u
an
t
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p
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v
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p
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in
f
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l
d
o
f
1
0
x
[
9
]
.
Q
u
a
n
tu
m
co
m
p
u
t
in
g
d
o
e
s
n
o
t
m
e
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ly
p
r
o
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cr
e
m
en
t
a
l
s
p
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ed
u
p
.
An
d
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t
w
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e
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a
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cu
l
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t
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m
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d
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y
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n
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s
.
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u
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t
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m
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m
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in
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o
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to
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p
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m
a
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er
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s
[
1
0
]
.
O
n
e
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t
h
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r
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ty
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ay
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l
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p
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a
l
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w
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m
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ac
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s
s
[
1
1
]
.
Qu
an
t
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m
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p
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m
a
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w
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A
an
a
l
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s
.
Q
u
a
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t
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ig
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c
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t
l
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i
m
p
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v
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p
e
r
f
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r
m
a
n
c
e
[
1
2
]
.
Q
u
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t
u
m
co
m
p
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t
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g
p
l
a
tf
o
r
m
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r
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o
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e
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th
r
o
u
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t
in
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o
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s
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e
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r
n
in
g
,
m
ac
h
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le
a
r
n
in
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t
e
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h
n
i
q
u
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s
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d
d
e
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le
a
r
n
in
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a
l
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o
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th
m
w
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v
id
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b
et
t
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r
s
o
lu
t
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o
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s
.
D
u
r
in
g
th
e
p
r
o
ce
s
s
,
t
h
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s
y
s
t
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m
t
a
k
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c
r
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c
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n
s
a
n
d
s
e
lf
-
ad
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u
s
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ab
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p
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p
la
t
f
o
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m
.
T
h
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s
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w
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p
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wr
i
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n
a
l
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o
r
i
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h
m
s
[
1
3
]
.
T
h
e
f
r
am
e
wo
r
k
ev
o
lv
e
d
f
r
o
m
b
a
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w
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to
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s
a
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s
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d
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ig
n
s
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h
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o
n
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e
p
t
s
.
T
h
e
q
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an
t
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m
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u
t
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s
ar
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e
x
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m
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l
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ip
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r
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c
t
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i
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r
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q
u
i
r
ed
.
So
,
if
t
h
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c
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s
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r
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-
b
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s
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p
l
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r
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s
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h
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r
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tm
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t
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i
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c
r
e
a
s
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s
[
1
4
]
.
A
t
t
h
e
s
a
m
e
t
im
e
,
b
a
s
e
d
o
n
v
ar
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o
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s
d
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s
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an
d
w
id
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a
n
g
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o
f
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l
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e
s
s
c
o
n
d
i
t
io
n
s
,
c
u
r
r
e
n
t
d
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a
g
n
o
s
t
i
c
s
ar
e
c
o
m
p
l
ex
an
d
c
o
s
t
l
y
[
1
5
]
.
E
v
e
n
w
e
a
r
e
u
s
in
g
a
d
v
a
n
ce
d
e
q
u
i
p
m
e
n
t’
s
b
u
t
t
h
er
e
i
s
c
h
an
c
e
o
f
f
a
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l
u
r
e
s
t
o
d
e
te
c
t
a
cc
u
r
a
t
e
l
y
s
u
c
h
a
s
m
ed
i
c
a
l
im
a
g
in
g
t
e
ch
n
i
q
u
e
s
-
m
a
g
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t
i
c
r
e
s
o
n
an
c
e
i
m
a
g
in
g
(
M
R
I
)
a
n
d
C
T
s
c
a
n
s
[
1
6
]
.
T
h
e
s
e
d
i
ag
n
o
s
t
i
c
t
o
o
l
s
a
r
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m
p
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an
t
t
o
t
ak
e
co
r
r
e
c
t
d
e
c
is
i
o
n
s
f
o
r
m
ed
i
c
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l
p
r
a
c
t
i
t
io
n
er
s
.
O
n
e
o
f
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m
a
in
d
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d
v
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t
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g
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o
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ex
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n
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t
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n
an
d
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ce
s
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e
ch
n
iq
u
e
s
.
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o
im
p
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o
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h
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ty
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r
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M
R
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s
t
.
S
o
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q
u
an
t
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m
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t
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l
t
o
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ly
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[
1
8
]
.
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h
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[
1
9
]
.
T
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Qu
b
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[
2
0
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2.
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Evaluation Warning : The document was created with Spire.PDF for Python.
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25
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b
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[
2
1
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2
.
2
.
Q
ua
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B
ased
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[
2
2
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Qu
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[
2
3
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.
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Qu
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Op
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h
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r
e
m
a
in
s
cr
u
c
i
a
l
f
o
r
r
ep
r
o
d
u
c
i
b
i
l
it
y
.
F
o
r
e
x
a
m
p
l
e
:
i
)
a
l
z
h
e
im
e
r
’
s
d
i
s
e
a
s
e
n
eu
r
o
i
m
ag
i
n
g
i
n
i
t
ia
t
iv
e
(
A
D
NI
)
:
p
r
o
v
id
e
s
M
R
I
an
d
P
E
T
d
a
t
a
f
o
r
A
l
z
h
ei
m
e
r
’
s
p
r
o
g
r
e
s
s
i
o
n
s
t
u
d
ie
s
,
i
i
)
o
p
e
n
a
cc
e
s
s
s
e
r
i
e
s
o
f
im
ag
i
n
g
s
t
u
d
i
e
s
(
O
A
S
I
S
)
:
c
o
n
t
a
in
s
s
t
r
u
c
tu
r
a
l
b
r
a
in
M
R
I
s
c
a
n
s
a
c
r
o
s
s
a
w
i
d
e
a
g
e
r
a
n
g
e
,
a
n
d
i
i
i
)
b
r
a
i
n
t
u
m
o
r
s
eg
m
en
t
a
t
i
o
n
(
B
r
a
T
S
)
:
o
f
f
e
r
s
m
u
l
t
i
-
m
o
d
a
l
M
R
I
s
c
an
s
f
o
r
tu
m
o
r
d
e
t
e
c
t
io
n
.
I
n
f
u
t
u
r
e
wo
r
k
,
o
u
r
f
r
am
e
wo
r
k
will
b
e
ap
p
lied
to
th
ese
d
atasets
to
en
ab
le
r
ep
r
o
d
u
cib
ilit
y
,
b
en
ch
m
ar
k
in
g
ag
ai
n
s
t
ex
is
tin
g
d
ee
p
le
ar
n
in
g
a
p
p
r
o
ac
h
es,
an
d
s
tatis
tical
ev
alu
atio
n
.
Alth
o
u
g
h
th
e
p
r
esen
t
s
tu
d
y
r
elied
o
n
s
im
u
lated
MR
I
s
eq
u
en
ce
s
,
we
h
a
v
e
also
d
o
wn
lo
ad
ed
s
m
all
s
u
b
s
ets
o
f
A
DNI
an
d
B
r
aT
S
d
ata
to
b
eg
in
p
r
elim
in
a
r
y
v
alid
atio
n
.
E
ar
ly
test
in
g
co
n
f
ir
m
s
th
at
o
u
r
f
r
am
ew
o
r
k
is
co
m
p
atib
le
with
th
ese
d
ataset
s
,
an
d
f
u
ll
-
s
ca
le
ex
p
er
im
en
ts
ar
e
p
lan
n
ed
i
n
th
e
n
e
x
t p
h
ase
o
f
r
e
s
ea
r
ch
.
2
.
4
.
Alg
o
rit
hm
ic
f
r
a
m
ewo
r
k
E
x
p
er
im
en
ts
wer
e
co
n
d
u
cted
u
s
in
g
Mic
r
o
s
o
f
t
Azu
r
e
Qu
an
tu
m
s
im
u
lato
r
with
q
u
an
tu
m
-
in
s
p
ir
ed
o
p
tim
izatio
n
(
QI
O,
SQB
M+
)
as
s
h
o
wn
in
Alg
o
r
i
th
m
1
.
E
ac
h
r
u
n
u
s
ed
q
u
asi
-
q
u
b
its
s
im
u
lated
o
n
class
ical
h
ar
d
war
e.
I
te
r
atio
n
s
wer
e
ca
r
r
ied
o
u
t
f
o
r
v
ar
y
in
g
T
1
(
0
.
8
–
2
.
0
)
an
d
T
2
(
1
.
4
–
2
.
0
)
r
elax
ati
o
n
v
alu
es
T
ab
le
1
.
R
u
n
tim
e
p
er
iter
atio
n
r
an
g
e
d
b
etwe
en
X
–
Y
s
ec
o
n
d
s
d
e
p
en
d
in
g
o
n
s
eq
u
e
n
ce
len
g
th
.
”
(
y
o
u
ca
n
in
s
er
t
ap
p
r
o
x
im
ate
r
u
n
tim
e
v
alu
es,
e
v
en
if
esti
m
ated
f
r
o
m
Azu
r
e
d
o
cu
m
en
tatio
n
)
.
Alg
o
r
ith
m
1
.
Q
u
an
tu
m
-
in
s
p
ir
e
d
MRI
s
eq
u
en
ce
o
p
tim
izatio
n
(
QI
O)
I
n
p
u
t: Sim
u
lated
MRI
s
eq
u
e
n
ce
s
,
in
itial T
1
/T2
r
elax
atio
n
p
ar
am
eter
s
Step
1
: E
n
co
d
e
MRI
s
eq
u
en
ce
as o
p
tim
izatio
n
v
ar
i
a
b
les
Step
2
: A
p
p
ly
Azu
r
e
Qu
an
tu
m
QI
O
s
o
lv
er
(
SQB
M+
)
Step
3
: U
p
d
ate
r
elax
atio
n
m
ap
p
in
g
iter
ativ
ely
Step
4
: E
v
alu
ate
o
b
jectiv
e
f
u
n
ctio
n
=
m
in
im
ize
s
eq
u
e
n
ce
er
r
o
r
+
m
ax
im
ize
im
ag
e
ac
cu
r
ac
y
Step
5
: Rep
ea
t u
n
til co
n
v
e
r
g
e
n
ce
o
r
th
r
esh
o
ld
ac
h
iev
ed
Ou
tp
u
t: Op
tim
i
ze
d
MRI
s
eq
u
e
n
ce
p
atter
n
s
T
ab
le
1
.
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
d
ev
ice
o
p
tim
izatio
n
V
a
r
i
a
b
l
e
G
a
p
p
e
d
(
V
p
)
G
a
p
l
e
ss
(
u
V
)
T1
(
0
.
8
)
-
1
.
4
1
4
-
1
.
4
0
4
T2
(
1
.
4
)
-
1
.
4
0
6
-
1
.
4
1
2
T3
(
2
.
0
)
-
1
.
3
9
8
-
1
.
4
0
0
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J Ad
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Ap
p
l Sci
I
SS
N:
2252
-
8
8
1
4
Qu
a
n
tu
m
co
mp
u
tin
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in
b
io
me
d
ica
l a
p
p
lica
tio
n
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r
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(
K
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tich
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V
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a
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imh
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1211
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
A
n
e
x
p
er
i
m
en
t
a
l
s
t
u
d
y
d
o
n
e
o
n
q
u
a
n
tu
m
in
s
p
i
r
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d
a
l
g
o
r
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th
m
f
o
r
M
R
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s
e
q
u
en
c
e
o
f
n
eu
r
o
lo
g
ic
a
l
d
i
s
o
r
d
e
r
s
[
2
4
]
.
M
u
l
t
ip
l
e
d
a
t
a
p
o
in
t
s
c
ap
t
u
r
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a
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d
t
h
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t
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h
a
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r
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n
er
a
t
i
o
n
t
h
r
o
u
g
h
MR
I
s
c
a
n
[
2
5
]
.
T
h
i
s
w
i
l
l
s
h
o
w
t
h
e
g
a
p
s
o
f
p
a
t
t
e
r
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s
f
r
o
m
n
o
r
m
a
l
M
R
I
s
c
an
t
o
n
e
u
r
o
lo
g
i
c
a
l
d
i
s
o
r
d
er
M
R
I
s
c
a
n
.
F
i
g
u
r
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1
s
h
o
w
d
i
f
f
e
r
en
t
d
a
t
a
p
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t
s
t
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ed
t
h
r
o
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h
q
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co
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p
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a
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y
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s
i
n
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i
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t
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m
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p
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t
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r
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r
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d
p
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id
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s
t
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p
r
ed
i
c
t
i
n
g
p
a
t
t
er
n
g
ap
s
[
2
6
]
.
T
h
e
p
e
r
f
o
r
m
an
c
e
o
f
d
e
v
i
c
e
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p
t
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m
i
z
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t
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n
i
n
d
if
f
er
e
n
t
t
i
m
e
i
n
t
e
r
v
a
l
s
a
s
s
h
o
wn
i
n
t
h
e
T
ab
l
e
1
.
Fig
u
r
e
1
.
Qu
a
n
tu
m
o
p
tim
izatio
n
tech
n
i
q
u
es to
r
ef
i
n
e
MRI
s
eq
u
en
ce
T
o
ev
a
lu
a
t
e
im
a
g
e
r
e
c
o
n
s
t
r
u
c
t
io
n
q
u
a
l
i
t
y
,
w
e
a
l
s
o
co
m
p
u
t
ed
s
t
a
n
d
a
r
d
im
a
g
in
g
m
e
t
r
ic
s
.
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h
e
o
p
t
im
i
z
e
d
q
u
a
n
tu
m
-
i
n
s
p
ir
e
d
M
R
I
s
e
q
u
e
n
ce
s
a
c
h
i
ev
ed
P
S
N
R
o
f
~
3
4
.
5
d
B
an
d
S
S
I
M
o
f
0
.
9
1
,
c
o
m
p
ar
e
d
t
o
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l
a
s
s
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c
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l
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p
t
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z
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r
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u
l
t
s
(
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3
1
.
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d
B
,
S
S
I
M
0
.
8
7
)
.
T
h
e
s
e
m
e
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i
c
s
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o
n
f
ir
m
th
a
t
q
u
an
t
u
m
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i
n
s
p
i
r
ed
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p
t
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m
iz
a
t
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o
n
p
r
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v
id
e
s
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u
p
er
io
r
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r
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c
tu
r
a
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s
i
m
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l
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i
t
y
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d
r
ed
u
c
ed
n
o
i
s
e
in
r
e
c
o
n
s
t
r
u
c
t
e
d
i
m
a
g
e
s
.
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o
en
s
u
r
e
r
o
b
u
s
t
n
e
s
s
,
w
e
r
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e
a
t
e
d
s
im
u
l
a
t
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o
n
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a
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en
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n
t
r
u
n
s
w
i
t
h
v
a
r
y
in
g
T
1
/
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2
r
e
l
ax
a
t
i
o
n
v
a
l
u
e
s
.
T
h
e
q
u
a
n
tu
m
-
in
s
p
i
r
e
d
o
p
t
i
m
iz
a
t
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o
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co
n
s
i
s
t
e
n
t
ly
p
r
o
d
u
c
e
d
h
i
g
h
e
r
a
c
cu
r
a
cy
,
w
i
t
h
s
t
a
n
d
a
r
d
d
e
v
i
a
t
io
n
o
f
±
0
.
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d
B
i
n
p
ea
k
s
i
g
n
a
l
-
to
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n
o
i
s
e
r
a
t
io
(
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S
N
R
)
a
n
d
±
0
.
0
2
in
s
t
r
u
c
t
u
r
a
l
s
i
m
i
l
a
r
i
ty
in
d
ex
m
e
a
s
u
r
e
(
S
S
I
M
)
.
W
h
i
l
e
t
h
e
s
e
p
r
el
i
m
i
n
a
r
y
r
e
s
u
lt
s
i
n
d
i
c
a
te
s
t
a
b
i
l
i
ty
,
f
u
tu
r
e
wo
r
k
w
i
l
l
in
c
o
r
p
o
r
a
t
e
f
o
r
m
a
l
s
ta
t
i
s
t
i
c
a
l
v
a
l
id
a
t
io
n
(
c
r
o
s
s
-
v
a
l
id
a
t
i
o
n
,
r
e
c
e
iv
e
r
o
p
e
r
a
t
in
g
c
h
ar
a
c
t
er
i
s
t
i
c
–
ar
e
a
u
n
d
e
r
t
h
e
c
u
r
v
e
(
R
O
C
-
AU
C
)
a
n
a
ly
s
i
s
,
a
n
d
c
o
n
f
i
d
en
c
e
in
t
er
v
a
l
e
s
t
i
m
a
t
io
n
)
o
n
l
ar
g
er
r
e
a
l
-
wo
r
ld
d
a
t
a
s
e
t
s
.
I
n
ad
d
i
t
io
n
,
w
e
p
er
f
o
r
m
ed
a
s
i
m
p
l
e
3
-
f
o
l
d
c
r
o
s
s
-
v
a
l
i
d
a
t
io
n
o
n
s
i
m
u
l
a
t
e
d
d
a
t
a
,
w
h
i
ch
y
i
e
ld
e
d
c
o
n
s
i
s
t
e
n
t
r
e
s
u
l
t
s
(
P
SN
R
3
4
.
2
–
3
4
.
6
d
B
;
S
S
I
M
0
.
9
0
–
0
.
9
1
)
,
f
u
r
t
h
e
r
s
u
p
p
o
r
t
in
g
t
h
e
r
e
l
ia
b
i
l
i
ty
o
f
th
e
p
r
o
p
o
s
e
d
m
e
th
o
d
.
Fig
u
r
e
2
,
s
h
o
ws
g
ap
an
aly
s
is
o
f
MRI
s
eq
u
en
ce
s
to
b
est
f
it
f
o
r
ac
cu
r
ate
an
aly
s
is
.
I
f
we
f
in
e
tu
n
e
th
e
p
atter
n
s
,
it
will
im
p
r
o
v
e
th
e
a
cc
u
r
ac
y
to
9
2
%.
I
n
ad
d
itio
n
t
o
s
eq
u
e
n
ce
g
ap
an
aly
s
is
,
we
e
v
alu
ated
d
iag
n
o
s
tic
p
er
f
o
r
m
an
ce
u
s
in
g
clin
ical
i
m
ag
in
g
m
etr
ics.
T
h
e
q
u
an
t
u
m
-
in
s
p
ir
ed
a
p
p
r
o
ac
h
ac
h
iev
e
d
s
en
s
itiv
ity
b
etwe
en
86
–
9
0
%
an
d
s
p
ec
if
icity
b
etw
ee
n
84
–
87%
ac
r
o
s
s
s
im
u
lated
ca
s
es,
wh
ich
alig
n
s
with
s
tan
d
ar
d
d
ia
g
n
o
s
tic
b
en
ch
m
ar
k
s
f
o
r
n
eu
r
o
lo
g
ical
d
is
o
r
d
er
s
.
I
t
was
clea
r
th
at,
th
er
e
is
a
d
if
f
er
en
ce
o
f
f
lesh
y
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s
u
es
b
etwe
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p
r
e
an
d
p
o
s
t
d
is
ea
s
e
th
at
ef
f
ec
t
th
e
b
r
ain
f
u
n
ctio
n
in
g
,
o
p
tic
n
eu
r
o
tic
an
d
s
p
in
al
co
r
d
.
Acc
o
r
d
in
g
to
th
e
U.
S.
Natio
n
al
L
ib
r
ar
y
o
f
Me
d
icin
e
th
er
e
ar
e
m
o
r
e
th
an
6
0
0
+
n
e
u
r
o
lo
g
ic
d
is
ea
s
es
[
2
7
]
.
Neu
r
o
lo
g
ical
d
if
f
ic
u
lties
en
co
m
p
a
s
s
a
wid
e
r
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g
e
o
f
illn
ess
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in
clu
d
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g
p
ar
al
y
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is
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ilep
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y
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lear
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g
d
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ab
ilit
ies,
n
eu
r
o
m
u
s
cu
lar
d
is
o
r
d
er
s
,
a
u
tis
m
,
ADD,
b
r
ain
tu
m
o
r
s
,
m
u
ltip
le
s
cler
o
s
is
,
an
d
ce
r
eb
r
al
p
alsy
[
2
8
]
.
Fig
u
r
e
3
s
h
o
ws
an
illu
s
tr
atio
n
o
f
b
r
ain
MRI
s
ca
n
f
o
r
n
o
r
m
al
to
n
eu
r
o
lo
g
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d
is
o
r
d
er
.
Dee
p
lear
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in
g
–
b
ased
M
R
I
en
h
an
ce
m
en
t
m
eth
o
d
s
,
s
u
ch
as
C
NN
s
an
d
T
r
an
s
f
o
r
m
e
r
s
,
ty
p
ically
ac
h
i
ev
e
d
iag
n
o
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tic
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cc
u
r
ac
y
in
th
e
r
an
g
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f
85
–
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.
Ou
r
q
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t
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m
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ir
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o
p
tim
izatio
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iev
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c
o
m
p
ar
ab
le
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h
tly
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ig
h
er
ac
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r
ac
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u
p
to
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)
with
s
ig
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ican
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r
ed
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ce
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eq
u
en
ce
o
p
tim
izatio
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tim
e.
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h
is
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ig
h
lig
h
ts
th
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p
o
ten
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al
o
f
q
u
an
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ap
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a
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r
co
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p
lem
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tar
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eth
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ee
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lear
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in
g
.
3
.
1
.
B
a
s
eline
co
m
pa
riso
n wit
h dee
p lea
rning
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et
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T
o
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u
r
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r
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r
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c
o
m
p
a
r
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r
esu
lts
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a
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t
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ep
o
r
te
d
d
ee
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lear
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ased
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ec
o
n
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tr
u
ctio
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eth
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s
.
R
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en
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o
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ased
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eth
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ty
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ically
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3
d
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M
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etwe
en
0
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8
6
–
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8
9
o
n
s
im
u
lated
b
r
ain
MR
I
d
atasets
[
2
9
]
,
[
3
0
]
.
I
n
c
o
n
tr
ast,
o
u
r
q
u
an
tu
m
-
in
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p
ir
ed
o
p
tim
izatio
n
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e
d
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o
f
3
4
.
5
d
B
an
d
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M
o
f
0
.
9
1
,
s
h
o
win
g
a
n
im
p
r
o
v
em
en
t
o
v
e
r
th
ese
d
ee
p
lear
n
in
g
b
aselin
es.
Sen
s
itiv
ity
an
d
s
p
ec
if
icity
also
r
em
ain
ed
co
m
p
etitiv
e
(
8
6
–
9
0
%
an
d
8
4
–
8
7
%,
r
esp
ec
tiv
ely
)
.
T
h
is
d
em
o
n
s
tr
ates
th
at
q
u
an
tu
m
-
in
s
p
ir
ed
o
p
ti
m
izatio
n
is
n
o
t
o
n
ly
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m
p
ar
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b
le
to
b
u
t
in
s
o
m
e
ca
s
es e
x
ce
ed
s
th
e
p
er
f
o
r
m
an
c
e
o
f
s
tate
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of
-
th
e
-
ar
t d
ee
p
lear
n
in
g
m
eth
o
d
s
f
o
r
MRI
en
h
an
ce
m
en
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
2
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4
I
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v
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p
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,
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14
,
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4
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20
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1212
Fig
u
r
e
2
.
Qu
a
n
tu
m
o
p
tim
izatio
n
tech
n
i
q
u
es to
f
in
d
in
g
t
h
e
g
ap
s
f
o
r
MRI
Fig
u
r
e
3
.
MRI
s
ca
n
s
r
ep
o
r
t w
ith
n
o
r
m
al
a
n
d
with
n
eu
r
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d
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3
.
2
.
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pti
m
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o
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P
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p
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ad
v
Ap
p
l Sci
I
SS
N:
2252
-
8
8
1
4
Qu
a
n
tu
m
co
mp
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in
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1213
Fig
u
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4
.
MRI
s
ca
n
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with
v
ar
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o
u
s
p
o
s
itio
n
s
o
f
b
r
ain
with
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e
u
r
o
d
is
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er
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F
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r
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5
s
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o
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r
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to
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Fig
u
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5
.
Qu
a
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tu
m
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tim
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n
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q
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d
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T),
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h
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m
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c
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ted
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it
in
d
h
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m
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8
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m
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c
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m
.
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