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1476 JOURNAL OF COMPUTERS, VOL. 8, NO. 6, JUNE 2013<br />

Loop 7: H<br />

7<br />

− H9<br />

− H10<br />

+ H11<br />

= 0 ,<br />

Loop 8: H<br />

8<br />

− H10<br />

+ H11<br />

− H12<br />

− H13<br />

+ H14<br />

− H15<br />

= 0 .<br />

We knew l , d<br />

1<br />

, ρ of the cerebral circulation network<br />

from paper [1], it is shown <strong>in</strong> table I.<br />

TABLE I.<br />

THE ARTERIAL GEOMETRY PARAMETERS OF THE CIRCLE OF WILLIS<br />

artery number length(cm) diameter(cm)<br />

<strong>in</strong>ternal carotid a. 7,1 25 0.4<br />

basilar a. 9 3 0.4<br />

Posterior communicat<strong>in</strong>g 11,15 2 0.12<br />

a.<br />

posterior cerebral a.Ⅰ 10,8 2 0.3<br />

anterior cerebral a.Ⅰ 12,14 2 0.25<br />

anterior communicat<strong>in</strong>g a. 13 0.5 0.15<br />

middle cerebral a. 5,2 7 0.35<br />

posterior cerebral a.Ⅱ 6,16 7 0.3<br />

Figure 5. The network equivalent plane diagram of cerebral circulation<br />

(16 branches).<br />

The network of the cerebral circulation has 16<br />

branches, 8 nodes and 1 generator branch. Choose<br />

branches 9 to 16 and generator as the tree of the network.<br />

The node equations can be expressed as:<br />

Node 1: Q <strong>in</strong><br />

− Q1 − Q7<br />

− Q9<br />

= 0 ;<br />

Node 2: Q<br />

8<br />

+ Q10<br />

− Q9<br />

= 0 ;<br />

Node 3: Q<br />

6<br />

− Q10<br />

− Q11<br />

= 0 ;<br />

Node 4: Q<br />

5<br />

− Q7<br />

+ Q11<br />

+ Q12<br />

= 0 ;<br />

Node 5: Q<br />

4<br />

− Q12<br />

+ Q13<br />

= 0 ;<br />

Node 6: Q<br />

3<br />

− Q13<br />

− Q14<br />

= 0 ;<br />

Node 7: Q<br />

2<br />

+ Q14<br />

+ Q15<br />

− Q1<br />

= 0 ;<br />

Node 8: Q<br />

16<br />

− Q8<br />

− Q15<br />

= 0 ;<br />

After transformation:<br />

Q <strong>in</strong><br />

= Q1 + Q7<br />

+ Q9<br />

Q <strong>in</strong><br />

= Q1 + Q7<br />

+ Q8<br />

+ Q10<br />

Q <strong>in</strong><br />

= Q1 + Q6<br />

+ Q7<br />

+ Q8<br />

− Q11<br />

Q <strong>in</strong><br />

= Q1 + Q5<br />

+ Q6<br />

+ Q8<br />

+ Q12<br />

Q <strong>in</strong><br />

= Q1 + Q4<br />

+ Q5<br />

+ Q6<br />

+ Q8<br />

+ Q13<br />

Q <strong>in</strong><br />

= Q1 + Q3<br />

+ Q4<br />

+ Q5<br />

+ Q6<br />

+ Q8<br />

− Q14<br />

Q <strong>in</strong><br />

= Q2 + Q3<br />

+ Q4<br />

+ Q5<br />

+ Q6<br />

+ Q8<br />

+ Q15<br />

Q <strong>in</strong><br />

= Q2 + Q3<br />

+ Q4<br />

+ Q5<br />

+ Q6<br />

+ Q16<br />

The loop equations can be expressed as:<br />

Loop 1: H<br />

1<br />

− H<br />

9<br />

− H10<br />

− H11<br />

+ H12<br />

− H13<br />

− H14<br />

= 0 ;<br />

Loop 2: H<br />

2<br />

− H15<br />

− H16<br />

= 0 ;<br />

Loop 3: H<br />

3<br />

+ H14<br />

− H15<br />

− H16<br />

= 0 ;<br />

Loop 4: H<br />

4<br />

− H13<br />

+ H14<br />

− H15<br />

− H16<br />

= 0 ,<br />

Loop 5: H<br />

5<br />

− H12<br />

− H13<br />

+ H14<br />

− H15<br />

− H16<br />

= 0 ,<br />

Loop 6: H + H − H − H + H − H − H 0 ,<br />

6 11 12 13 14 15 16<br />

=<br />

anterior cerebral a.Ⅱ 4,3 5 0.25<br />

ρl<br />

1.63l<br />

We can obta<strong>in</strong> T from T = and R from R = .<br />

4<br />

S<br />

D<br />

We may obta<strong>in</strong> Q c0 equation set from type (19), this<br />

equation only has numerical solution, but does not have<br />

the exact solution, uses the genetic algorithm to get the<br />

iterative solution. We can get H from Q , H is equal to<br />

P .<br />

First, we solve the cerebral circulation blood flow Q<br />

with the normal person, and we can get H from (2), that<br />

is P <strong>in</strong> (1), its comput<strong>in</strong>g simulation result is shown <strong>in</strong><br />

figure 6.<br />

`<br />

© 2013 ACADEMY PUBLISHER

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