Feature description
As we use the realistic phantom for unit testing, SNR is poorly defined. The phantom uses T1/T2 values to generate realistic tissue contrasts. This means that "noise" is added to the signal, but that this does not mean "SNR" is 1/noise. It also means that SNR changes per organ (depending on their T1/T2 values). It makes the phantom more realistic, but the SNR is harder to define.
Describe the solution
For our paper, I think it is "easier" to have unit tests at fixed SNR-levels, instead of fixed noise levels.
To me there are two solutions;
1: We could simulate a noise-less signal curve using the phantom, and then rescale per tissue and add noise for unit testing purposes.
2: We could have an option to turn off T1/T2 weighting in the phantom and generate the json files with this option turned off.
Describe alternatives
No response
Additional context
No response
Are you working on this?
Yes
Feature description
As we use the realistic phantom for unit testing, SNR is poorly defined. The phantom uses T1/T2 values to generate realistic tissue contrasts. This means that "noise" is added to the signal, but that this does not mean "SNR" is 1/noise. It also means that SNR changes per organ (depending on their T1/T2 values). It makes the phantom more realistic, but the SNR is harder to define.
Describe the solution
For our paper, I think it is "easier" to have unit tests at fixed SNR-levels, instead of fixed noise levels.
To me there are two solutions;
1: We could simulate a noise-less signal curve using the phantom, and then rescale per tissue and add noise for unit testing purposes.
2: We could have an option to turn off T1/T2 weighting in the phantom and generate the json files with this option turned off.
Describe alternatives
No response
Additional context
No response
Are you working on this?
Yes