[ITK-users] ASM and AAM in ITK

[Timothee Evain]

Thanks a lot Ziv!

I will take a look into that library. From a quick search, I'm not sure it will be able to model the intensity of the data, I will see.
Anyway, this project is a quite interesting contribution to statistical modelling with it implementation-independant model approach, and deserve to be known. Thanks for the hint :)

Tim

----- Mail original -----
De: "Ziv Rafael Yaniv (NIH/NLM/LHC) [C]" <zivrafael.yaniv at nih.gov>
À: "Timothee Evain" <tevain at telecom-paristech.fr>, "Insight Users" <insight-users at itk.org>
Envoyé: Jeudi 25 Août 2016 15:25:06
Objet: Re: [ITK-users] ASM and AAM in ITK

Hi Tim,

Before you continue on this path I would recommend that you take a look at
the Statismo project (http://www.si-cas.com/ncssm/software.htm) . It may
be doing what you want, to quote from their github documentation "Although
the main focus of statismo lies on shape modeling, it is designed such
that it supports any kind of PCA based statistical model, including
statistical deformation models and intensity models."

It is built on top of ITK.

    hope this helps
           Ziv



On 8/25/16, 4:59 AM, "Timothee Evain" <tevain at telecom-paristech.fr> wrote:

>Hi everybody,
>
>I'm currently trying to build teeth models to guide segmentation in CBCT
>data.
>
>With the help of the ImagePCAShapeModelEstimator I was able to build an
>ASM model. But that's not enough and I would like to add the intensity
>information, thus building an appearance model.
>Since there isn't build-in solution, I have two questions:
>
>-Is anyone aware of a code project for AAM which could be used with itk?
>
>-In the perspective of coding my own method, I've taken a look to the
>ImagePCAShapeModelEstimator code. The way the PCA is performed puzzle me.
>The principal component are computed by combining the data matrix to the
>eigenvectors of the inner product matrix, not by taking the eigenvector
>of covariance matrix, for computational efficiency. I don't see the
>equivalence between these methods. Is there somewhere I could get
>information on this, a math sheet or something like that ?
>
>Tim 
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