Biomedical Engineering Reference
In-Depth Information
σ
2
2
t
+
2
Δ
x
f
(
x
,
2
)
p
2
(
x
,
t
)+
h
(
x
,
2
)
f
(
x
,
2
)
p
2
(
x
,
t
)
0
B
+
β
∇
x
g
)
·
∇
x
f
(
x
,
t
)
−
∇
x
u
(
x
,
t
(
x
,
2
)
p
2
(
x
,
t
)
−
m
21
f
(
x
,
2
)
p
2
(
x
,
t
)
−
m
23
f
(
x
,
2
)
p
2
(
x
,
t
)
d
x
d
t
+
m
12
f
(
x
,
2
)
p
1
(
x
,
t
)
m
13
f
d
x
d
t
t
+
(
x
,
3
)
p
1
(
x
,
t
)
−
m
23
f
(
x
,
3
)
p
2
(
x
,
t
)
.
0
B
(51)
with
λ
12
λ
13
=
(
,
)
)
,
=
(
,
)=
)
,
m
12
:
m
12
x
1
m
13
:
m
13
x
1
(52)
u
(
x
,
t
(
p
1
(
·,
t
)
∗
K
)(
x
m
21
:
=
m
21
(
x
,
2
)=
λ
21
(
p
2
(
·,
t
)
∗
K
)(
x
)
,
m
23
:
=
m
23
(
x
,
2
)=
λ
23
,
(53)
and, by Eq. (
38
), coupled with the dynamics of the (now purely deterministic)
underlying fields
g
and
u
∂
g
(
x
,
t
)
=
−
(
,
)+
(
,
)+
α
(
,
)
,
d
g
g
x
t
D
g
Δ
g
x
t
g
p
2
x
t
(54)
∂
t
∂
u
(
x
,
t
)
=
−
d
u
u
(
x
,
t
)+
D
u
Δ
u
(
x
,
t
)+
α
u
p
1
(
x
,
t
)
.
(55)
∂
t
In particular, by considering the weak evolution Eq. (
51
) over the three subsets
B
×
s
∈ B
⊗
S
,forany
s
=
1
,
2
,
3, we find the weak form of the following system
E
of PDEs:
∂
p
1
(
x
,
t
)
t
=(
h
(
x
,
1
)
−
m
12
−
m
13
)
p
1
(
x
,
t
)+
m
21
p
2
(
x
,
t
)
,
(56)
∂
2
2
(
,
)
∂
p
2
x
t
=
σ
2
Δ
p
2
(
x
,
t
)
−
α
2
∇
(
∇
g
(
x
,
t
)
−
∇
u
(
x
,
t
))
p
2
(
x
,
t
)
∂
t
(
h
(
x
,
2
)
−
m
21
−
m
23
)
p
2
(
x
,
t
)+
m
12
p
1
(
x
,
t
)
,
(57)
∂
p
3
(
x
,
t
)
=
m
13
p
1
(
x
,
t
)+
m
23
p
2
(
x
,
t
)
,
(58)
∂
t
coupled with Eqs. (
54
)and(
55
). System (
54
)-(
58
) represents the continuum
description of the angiogenic network at the macroscale. It may be taken into
account only whenever a law of large numbers may be applied. It describes the
continuum densities of the different types of cells coupled with the deterministic
PDEs for the underlying fields.
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