Hi al-Rawi,
Alternatively, you may conatct researchers working on simulations within
the ADNI multicenter study. I'm sure they can advise you...
See list in:
http://adni.loni.ucla.edu/research/active-investigators/
I hope this helps,
Mohamed
On 01/06/2012 16:02, MS Al-Rawi wrote:
> Thank you all for the kind responses.
>
>> I think the best so far include SVM and other statistical classifiers (perhaps PRoNTo for SPM in fMRI), but not quite what you want I think.
> Yes Joao, not quite , I am looking for something that realistically deteriorate an image of a healthy brain. Could it be the Holy-Graal-of-morphometry? It could be, since we'll have higher flexibility in generating new data and test (within large scales) our morphometry approaches. In the end, however, real-world experiments may have the upper hand.
>
>> You mean software that can be used to simulate atrophy? If so, then
>> maybe NiftySim would do the job:
> Thank you John.
> Nifty Sim is a high-performance nonlinear dynamic finite element (FE) solver, that's what the manual says, and the rest of the details seems unrelated.
>
>
> I am not sure if NiftySim can do that? I couldn't find anything useful, am I missing something?
>
> The simulator I have in mind is one that converts a healthy structural MRI volume into one with some kind of neuorodegeneration. This simulator could be based on (neurodegenerative diseases, ie be it based on atrophy or other forms) probabilistic maps + few other chance parameters, and may uses morphology operators, eg dilation and/or erosion, to convert a healthy brain to non-healthy. How much neurodegeneration could be tuned according to a set of factors , e.g., the age of the non-healthy brain. For example, if the original healthy brain is 25 yrs, the simulator will be asked to produce a non-healthy output-brain at the age of 65, or as the user desires. It would be nice that such simulator can also produce some form(s) of scanner-noise, and affine(ly) transform the resultant non-healthy brain.
>
> Regards,
> - Rawi
>
|