Biomedical Engineering Reference
In-Depth Information
Here, the hyperplane j = 1 tr
Z j ʥ j
Z o forms a tightest upper bound of the
concave function log
| ʣ y |
. Let us express the lead field matrix at the j th voxel using
its column vectors,
= l x (
r j ) = l x ,
l z ,
L j
r j ),
l y (
r j ),
l z (
l y ,
where explicit notation of the voxel location
is omitted. Using exactly the same
derivation from Eqs. ( 4.55 )to( 4.58 ), we can derive the update equation
(
r j )
ʥ j
Z j
=
log
| ʣ y |
log
| ʣ y | /∂ [ ʥ j ] 1 , 1
log
| ʣ y | /∂ [ ʥ j ] 1 , 2
log
| ʣ y | /∂ [ ʥ j ] 1 , 3
=
log
| ʣ y | /∂ [ ʥ j ] 2 , 1
log
| ʣ y | /∂ [ ʥ j ] 2 , 2
log
| ʣ y | /∂ [ ʥ j ] 2 , 3
log
| ʣ y | /∂ [ ʥ j ] 3 , 1
log
| ʣ y | /∂ [ ʥ j ] 3 , 2
log
| ʣ y | /∂ [ ʥ j ] 3 , 3
l x ʣ 1
l x l x ʣ 1
l y l x ʣ 1
l z
y
y
y
=
l y ʣ 1
l x l y ʣ 1
l y l y ʣ 1
L j ʣ 1
=
l z
L j ,
(4.79)
y
y
y
y
l z ʣ 1
l x l z ʣ 1
l y l z ʣ 1
l z
y
y
y
[ ʥ j ] , m indicates the
(,
)
ʥ j .
where
m
th element of the matrix
4.8.2 Update Equation for s j ( t k )
The update equation for x k can be obtained using
x k ʥ 1 x k
2
x k =
argmin
x k
ʲ
y k
Fx k
+
.
(4.80)
The solution is given by Eq. ( 4.61 ) with replacing H with F , which is rewritten as
L 1
L 2
L N
s 1 (
t k )
ʥ 1 0
···
0
=
ʣ 1
s 2 (
t k )
0
ʥ 2 ···
0
y k .
(4.81)
.
.
.
0 . . .
y
s N (
t k )
00
··· ʥ N
Therefore, the source vector at the j th voxel
s j (
t k )
is given by
t k ) = ʥ j L j ʣ 1
s j (
y k ,
(4.82)
y
and Eq. ( 4.82 ) is the update equation for s j (
t k )
.
 
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