[Camino-users] Fitting analytic models (choosing number of restricted compartments)

[Andrés Méndez]

Thanks for the answer.

So I cannot define, for example   "modelfit -  TENSORTENSORCYLINDER"  to
fit the signal combining two tensors and a cylinder?


In the way that ballstickstick are combined in the following example to
synthetize the signal from a crossing fiber


datasynth -synthmodel  compartment 3 BALL 0.4 1.7E-9  Stick 0.3 1E-9
1.2 -4.5 Stick 1E-9 0.0 0.0 -schemefile cross.scheme -voxels 1
-outputfile BSScross.Bfloat






_______________________________________________
C. Andrés Méndez G.,   Postdoctoral Research Fellow
Department of Computer Science, University of Verona
Ca' Vignal 2 - Strada Le Grazie 15,  37134 VERONA - Italy
Tel. +39 045 802 7803


On Wed, Jan 15, 2014 at 6:47 PM, Ferizi, Uran <uran.ferizi.10 at ucl.ac.uk>wrote:

>  Hello Andrés,
>
>
>  No, in short, it is not possible at present to model many fibers (by the
> way, modelled through restricted diffusion via Cylinders, and not Tensors).
>
>
>  We intend to produce a more versatile model soon, which would cater for
> this sort of problem, but that would be a few months away.
>
>
>  Uran
>
>
>  ------------------------------
> *From:* camino-users-bounces at www.nitrc.org <
> camino-users-bounces at www.nitrc.org> on behalf of Andrés Méndez <
> andres.mendezg at gmail.com>
> *Sent:* 15 January 2014 12:00 PM
> *To:* camino-users at www.nitrc.org
> *Subject:* [Camino-users] Fitting analytic models (choosing number of
> restricted compartments)
>
>  Hello, I'd like to ask a question about data fitting and data synthesis
> using analytic models.
>
>  Is it possible to fit the data specifying the number N of restricted
> compartments?. For example, the CHARMED model that in Camino is codified as
> "Tensor GDRCylinders".  Let's say I want to fit a single hindered
> compartment (Cylinders) and two restricted diffusion ones (Tensor) in order
> to account for crossing fibers . Is it possible to do it?
>
>  Thanks in advance. Regards.
>
>  Andrés M.
>
>
>
>  _______________________________________________
>
>
>
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