Ali, hi, Just to add to Jess' excellent reply -- usually Tikhonov solutions are *lower* than ground truth due to the effect of regularization, so it definitely sounds like something is wrong. On the other hand, if there is any noise in your data or model and you are not regularizing (or not regularizing enough) you could be amplifying noise due to the ill-posedness of the inverse solution ? just a couple of guesses ... best, Dana On 1/14/19 2:21 PM, Jess wrote:
Hi Ali,
Thanks for your question. I assume you are using
the Tikhonov method? Is the gold standard recorded data? Are
you using measured body surface potentials as the input? Are
these processed the same? Without know more about your setup, I
would guess that there may be a difference in how the data are
referenced. Can you provide some images or data to illustrate
what the problem is?
cheers,
Jess
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