Biomedical Engineering Reference
In-Depth Information
is given by
x |
2
a H
2
| v
|
ʣ v x b
|
2
| ˆ R |
=
=
.
(7.95)
b H
a H
vv
x
[
ʣ vv a
][
ʣ xx b
]
x
2 is defined as the maximum of
2 ,
The canonical squared residual coherence
| ˈ R |
| ˆ R |
which is obtained by solving the optimization problem,
ʣ v x b
2
2
a H
subject to a H
1 and b H
| ˈ R |
=
max
a
,
ʣ vv
a
=
ʣ xx b
=
1
.
(7.96)
,
b
This maximization problem is exactly the same as that in Eq. ( 7.60 ), and the solu-
tion of this maximization is known to be the maximum eigenvalue of the matrix
ʣ 1
vv ʣ v x ʣ 1
H
xx ʣ
v x . That is, the canonical residual coherence is derived as
2
= S max { ʣ 1
vv ʣ v x ʣ 1
H
| ˈ R |
xx ʣ
v x } ,
(7.97)
ʣ vv
ʣ v x is derived using Eq. ( 7.94 ).
where
is derived using Eq. ( 7.93 ), and
7.6.4 Computing Coherence When Each Voxel
has Multiple Time Courses
When the source vector has x , y , and z components, most source imaging algorithms
generate three time courses corresponding to the x , y , and z components at each
voxel. A usual way is to obtain a single representative time course at each voxel and
compute coherence using such representative time courses, as described in Sect. 7.2 .
Here, we describe an alternative method to compute voxel coherence when each
voxel has multiple time courses [ 13 ].
The method is a straightforward application of the canonical coherence. Let us
assume that the voxel time courses are expressed as in Eq. ( 7.1 ). The voxel spectra
at the target and seed voxels are respectively denoted using 3
×
1 vectors x and y ,
which are given by
x 1 (
f
)
y 1 (
f
)
,
x
(
f
) =
x 2 (
f
)
and y
(
f
) =
y 2 (
f
)
(7.98)
x 3 (
f
)
y 3 (
f
)
where x 1 (
are the spectra obtained from the source time courses
in the x , y and z directions at the target voxel, and y 1 (
f
)
, x 2 (
f
)
, and x 3 (
f
)
)
, y 2 (
)
, and y 3 (
)
are
the spectra obtained from the source time courses in the x , y and z directions at
the seed voxel. Using these x and y , we compute canonical magnitude coherence
| ˈ |
f
f
f
| ˈ |
ˈ I in
Eq. ( 7.83 )or ˈ I in Eq. ( 7.85 ). This method is equivalent to determining the source
in Eq. ( 7.66 )or
in Eq. ( 7.68 ), and the canonical imaginary coherence
 
 
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