Biomedical Engineering Reference
In-Depth Information
k α
t g
k α
k 2
α
t g
+4 r b t g + t b
t g t b
+ r b t g + t b
t g t b
1/2
2 t g + 1
+ k β
.
(11.78)
2
This general result gives the net rate that corresponds to the minimum detectable
true activity for a given background rate r b and arbitrary choices of α , β ,andthe
counting times. When the latter are equal ( t g = t b = t ) , Eq. (11.78) gives for the
number of net counts with the minimum detectable true activity
8 n b + 1+ k 2
= 2 n b k α
k α
α
8 n b
2 =
r 2 t
1+ k 2
1+ k 2
1/2 .
k α
2 n b
α
4 n b +
α
8 n b
+ k β
(11.79)
With the help of Eq. (11.70), we can also write
2 = 1 + k β 2 n b 1+ k 2
1+ k 2
1/2
k α
2 n b
α
4 n b +
α
8 n b
.
(11.80)
The minimum detectable true activity is given by
A II = 2
,
(11.81)
t
where is the counter effi ci ency. As with Eqs. (11.70) and (11.72), we obtain a
simple formula when k α / n b
1 :
( k α + k β ) 2 n b .
2 =
(11.82)
When the background count B is accurately known, we h av e seen by Eq. (11.73)
that the minimum significant count difference is 1 =
k α B . If a sample has ex-
actly the minimum detectable true activity, then the expected number of net counts
2 is just k β st andard d eviations greater than 1 . The standard deviation of the net
count rate is ( B +
2 ) .Thus,
2 = k α B + k β B +
2 .
(11.83)
Solving for 2 , we find
2 = B k α +
1+ k B + k 2
k 2
β
2 B + k β
β
4 B
(11.84)
(Background accurately known).
This expression for 2 is then to be used in Eq. ( 11 .81) to obtain the minimum
detectable true activity. When k α / B
1 and k β / B
1 , one has, approximately,
in place of Eq. (11.82),
( k α + k β ) B
2 =
(Background accurately known) .
(11.85)
 
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