[Mristudio-users] corpus callsoum segmentation
Xin Li
xli16 at jhmi.edu
Thu Feb 11 12:20:44 EST 2010
Hello,
The dowload section is at https://www.mristudio.org/wiki/installation. You will find vcredist_x86.exe and vcredist_x64.exe there.
Xin
----- Original Message -----
From: Sona Saksena <saksena.sona at gmail.com>
Date: Thursday, February 11, 2010 11:34 am
Subject: Re: [Mristudio-users] corpus callsoum segmentation
To: "DTI Studio, ROI Editor, Landmarker Questions/Support" <mristudio-users at mristudio.org>
> Hello,
>
> I am not able to find the downlaod section in the
> Please
> let me know how to download Vcredist_x86.exe and vcredist_x64.exe
> from the
> download section.
>
> Any help is highly appreciated.
>
> thanks
>
>
> On Wed, Feb 3, 2010 at 11:50 AM, Xin Li <xli16 at jhmi.edu> wrote:
>
> > Hello Sona,
> >
> > You may need to install runtime components of Visual C++ libraries
> on your
> > computer. Please take a look at
> >
> > Vcredist_x86.exe and vcredist_x64.exe are available in the download
> section.
> >
> > Hope this can solve your problem.
> >
> >
> > Xin
> >
> >
> >
> >
> > ----- Original Message -----
> > From: Sona Saksena <saksena.sona at gmail.com>
> > Date: Wednesday, February 3, 2010 10:56 am
> > Subject: Re: [Mristudio-users] corpus callsoum segmentation
> > To: "DTI Studio, ROI Editor, Landmarker Questions/Support" <
> > mristudio-users at mristudio.org>
> >
> >
> > > Hello,
> > >
> > > I am facing a problem while downloading DiffeoMap-latest-x64.exe
> and
> > > ROIEditor-latest-x64.exe. After running the program, an option comes
> > > WinZip
> > > Self-Extractor i.e. to unzip all the files by pressing the Unzip
> button.
> > > After unzipping the files the program does not work. Please let
> me
> > > know how
> > > to proceed further.
> > >
> > > Any help is highly appreciated.
> > >
> > > thanks
> > >
> > > regards
> > >
> > > Sona Saksena
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > > On Mon, Feb 1, 2010 at 4:12 PM, susumu mori <susumu at mri.jhu.edu>
> wrote:
> > >
> > > > Hi Sona,
> > > >
> > > > This is a question about cross-subject brain registration.
> Your are
> > > > basically asking how we can identify the corresponding areas
> of the
> > > CC
> > > > across multiple subjects. Witelson scheme is one of them, which
> > > divide the
> > > > CC into the seven segments based on pre-defined distance-based
> > criteria.
> > > > There are two often-counteracting factors in the mapping;
> > reproducibility
> > > > (reliability) and granularity (the number of segmentation, or
> the
> > > amount of
> > > > localization information).
> > > >
> > > > One extreme of the granularity is the entire CC, in which we get
> > > one number
> > > > for the entire CC (e.g. the size of the mid-sagittal CC). The
> > > reliability of
> > > > the CC definition is high across the subjects because we can
> > unambiguously
> > > > define the mid-sagittal CC for any subjects, but the localization
> > > > information is the poorest. If only the genu of the CC is abnormal,
> > > such an
> > > > effect would be diluted by measuring the entire CC at once.
> > > >
> > > > Another extreme is the pixel-based analysis, in which we have
> to
> > > make a
> > > > complete mapping of each pixel between the two subject. If there
> > > are 5,000
> > > > 1x1x1 mm pixels within the mid-sagittal CC, we need to map the
> all
> > > 5,000
> > > > pixels to another brain. This is basically the same as making
> the
> > > two CC
> > > > shapes the identical by image transformation. This has the highest
> > > > localization information but the reliability is a tough issue.
> > > Depending on
> > > > which transformation algorithm you use, you get different results.
> > > This
> > > > approach has a potential to pin-point a small abnormal region
> > > within the CC,
> > > > but such an effect could be diluted if there is transformation
> > > error. Also,
> > > > each pixel is very noisy and a pixel-based statistics may have
> poor
> > > > sensitivity. Often you need to apply a filtering that introduces
> > > > pixel-averaging for nearby pixels.
> > > >
> > > > The Witelson approach is somewhere between these two
> approaches. It
> > > has
> > > > only 7 very large segments in which 100s of pixels are averaged.
> > > >
> > > > Now your question is, if we provide a tool to perform the Witelson
> > > > segmentation. The short answer is no, but if you take your question
> > > as a
> > > > general brain registration question, the answer is yes.
> > > >
> > > > By using DiffeoMap, you can transform one brain to the other.
> We
> > > are using
> > > > a very advanced diffeomorphic transformation developed by Michael
> > > Miller. So
> > > > you will find the transformation results are of quite high quality.
> > > Once you
> > > > transform one brain to the other, you can do pixel-based analysis.
> > > >
> > > > Then you can move the transformed images into RoiEditor, in which
> > > you can
> > > > apply a pre-segmented brain atlas to segment the entire brain
> up to
> > > 176
> > > > areas. Currently, the CC is segmented to three areas: genu,
> body, and
> > > > splenium. In this atlas, you can create your own segment. For
> > > example, you
> > > > can segment the atlas CC to 7 Witelson segments. Then
> transform the
> > > atlas to
> > > > each subject (or transform each subject to the atlas) to apply
> these
> > > > segments to registered brain.
> > > >
> > > > So, I would recommend you to take a look at www.mristudio.org
> and
> > find
> > > > what you can do with DiffeoMap and RoiEditor.
> > > >
> > > > Susumu
> > > >
> > > > On Mon, Feb 1, 2010 at 11:58 AM, Sona Saksena <
> > saksena.sona at gmail.com>wrote:
> > > >
> > > >> Hello,
> > > >>
> > > >> I would like to calculate ADC and FA values in the seven segments
> > > of
> > > >> corpus callosum divided according to the Witelson scheme. CAn
> I do
> > > that
> > > >> using DTIstudio software. Please let me know how to divide
> the corpus
> > > >> callsoum into seven segments using DTIstudio software or suggest
> > > any other
> > > >> possible way to do it.
> > > >>
> > > >> Any help will be highly appreciated.
> > > >>
> > > >> thanks
> > > >>
> > > >> regards
> > > >>
> > > >> Sona Saksena
> > > >>
> > > >>
> > > >> _______________________________________________
> > > >> Mristudio-users mailing list
> > > >> Mristudio-users at mristudio.org
> > > >>
> > > >> Unsubscribe, send a blank email to:
> > > >> Mristudio-users-unsubscribe at mristudio.org
> > > >>
> > > >>
> > > >
> > > > _______________________________________________
> > > > Mristudio-users mailing list
> > > > Mristudio-users at mristudio.org
> > > >
> > > > Unsubscribe, send a blank email to:
> > > > Mristudio-users-unsubscribe at mristudio.org
> > > >
> > > >
> > >
> > >
> > > --
> > > Regards
> > > Sona Saksena
> > > _______________________________________________
> > > Mristudio-users mailing list
> > > Mristudio-users at mristudio.org
> > >
> > > Unsubscribe, send a blank email to:
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> >
>
>
>
> --
> Regards
> Sona Saksena
> _______________________________________________
> Mristudio-users mailing list
> Mristudio-users at mristudio.org
>
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