"SNR in X-ray Imaging: Calculating & Effects

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BobP
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Homework Statement


(1) An ideal digital detector only suffers from quantum noise. If, after being exposed to 5 µGy the mean pixel value in the image is 100 and the standard deviation of the pixel values in the image is 5, calculate the SNR?

The relationship between pixel value and detector dose is linear.

(2) What is the effect on SNR of applying a linear gain of factor 4 to increase all pixel values

Homework Equations

The Attempt at a Solution



As I understand SNR = N/sqrt(N) so I would have said SNR = 10
But I don't understand why they gave the S.D value of 5...

Re part (2) I thought SNR was unaffected by gain as both noise and signal would increase by the same amount

But I am not sure about either answer.
Thanks for the help
 
BobP said:

Homework Statement


(1) An ideal digital detector only suffers from quantum noise. If, after being exposed to 5 µGy the mean pixel value in the image is 100 and the standard deviation of the pixel values in the image is 5, calculate the SNR?

The relationship between pixel value and detector dose is linear.

(2) What is the effect on SNR of applying a linear gain of factor 4 to increase all pixel values

Homework Equations

The Attempt at a Solution



As I understand SNR = N/sqrt(N) so I would have said SNR = 10
But I don't understand why they gave the S.D value of 5...

Re part (2) I thought SNR was unaffected by gain as both noise and signal would increase by the same amount

But I am not sure about either answer.
Thanks for the help
SNR is defined in different ways for different purposes. I can't think of a purpose for which it would take the form N/√N. (Why doesn't that collapse to √N? Are the two Ns different?)
The form μ/σ given at https://en.m.wikipedia.org/wiki/Signal-to-noise_ratio#Alternative_definition looks appropriate.
Of course, for a given arrangement, if you just vary the sample size N then you will get something proportional to √N, but not simply equal to it.