<div>Hello,</div>
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<div>I am not able to find the downlaod section in the <a href="https://www.mristudio.org/wiki/user_manual/landmarker/installation" target="_blank">https://www.mristudio.org/wiki/user_manual/landmarker/installation</a>. Please let me know how to download Vcredist_x86.exe and vcredist_x64.exe from the download section.</div>
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<div>Any help is highly appreciated.</div>
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<div>thanks<br><br><br></div>
<div class="gmail_quote">On Wed, Feb 3, 2010 at 11:50 AM, Xin Li <span dir="ltr"><<a href="mailto:xli16@jhmi.edu" target="_blank">xli16@jhmi.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="PADDING-LEFT: 1ex; MARGIN: 0px 0px 0px 0.8ex; BORDER-LEFT: #ccc 1px solid">Hello Sona,<br><br>You may need to install runtime components of Visual C++ libraries on your computer. Please take a look at <a href="https://www.mristudio.org/wiki/user_manual/landmarker/installation" target="_blank">https://www.mristudio.org/wiki/user_manual/landmarker/installation</a>. Vcredist_x86.exe and vcredist_x64.exe are available in the download section.<br>
<br>Hope this can solve your problem.<br><font color="#888888"><br><br>Xin<br></font>
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<div><br><br><br><br>----- Original Message -----<br>From: Sona Saksena <<a href="mailto:saksena.sona@gmail.com" target="_blank">saksena.sona@gmail.com</a>><br>Date: Wednesday, February 3, 2010 10:56 am<br>Subject: Re: [Mristudio-users] corpus callsoum segmentation<br>
To: "DTI Studio, ROI Editor, Landmarker Questions/Support" <<a href="mailto:mristudio-users@mristudio.org" target="_blank">mristudio-users@mristudio.org</a>><br><br><br>> Hello,<br>><br>> I am facing a problem while downloading DiffeoMap-latest-x64.exe and<br>
> ROIEditor-latest-x64.exe. After running the program, an option comes<br>> WinZip<br>> Self-Extractor i.e. to unzip all the files by pressing the Unzip button.<br>> After unzipping the files the program does not work. Please let me<br>
> know how<br>> to proceed further.<br>><br>> Any help is highly appreciated.<br>><br>> thanks<br>><br>> regards<br>><br>> Sona Saksena<br>><br>><br>><br>><br>><br>><br>
><br>> On Mon, Feb 1, 2010 at 4:12 PM, susumu mori <<a href="mailto:susumu@mri.jhu.edu" target="_blank">susumu@mri.jhu.edu</a>> wrote:<br>><br>> > Hi Sona,<br>> ><br>> > This is a question about cross-subject brain registration. Your are<br>
> > basically asking how we can identify the corresponding areas of the<br>> CC<br>> > across multiple subjects. Witelson scheme is one of them, which<br>> divide the<br>> > CC into the seven segments based on pre-defined distance-based criteria.<br>
> > There are two often-counteracting factors in the mapping; reproducibility<br>> > (reliability) and granularity (the number of segmentation, or the<br>> amount of<br>> > localization information).<br>
> ><br>> > One extreme of the granularity is the entire CC, in which we get<br>> one number<br>> > for the entire CC (e.g. the size of the mid-sagittal CC). The<br>> reliability of<br>> > the CC definition is high across the subjects because we can unambiguously<br>
> > define the mid-sagittal CC for any subjects, but the localization<br>> > information is the poorest. If only the genu of the CC is abnormal,<br>> such an<br>> > effect would be diluted by measuring the entire CC at once.<br>
> ><br>> > Another extreme is the pixel-based analysis, in which we have to<br>> make a<br>> > complete mapping of each pixel between the two subject. If there<br>> are 5,000<br>> > 1x1x1 mm pixels within the mid-sagittal CC, we need to map the all<br>
> 5,000<br>> > pixels to another brain. This is basically the same as making the<br>> two CC<br>> > shapes the identical by image transformation. This has the highest<br>> > localization information but the reliability is a tough issue.<br>
> Depending on<br>> > which transformation algorithm you use, you get different results.<br>> This<br>> > approach has a potential to pin-point a small abnormal region<br>> within the CC,<br>> > but such an effect could be diluted if there is transformation<br>
> error. Also,<br>> > each pixel is very noisy and a pixel-based statistics may have poor<br>> > sensitivity. Often you need to apply a filtering that introduces<br>> > pixel-averaging for nearby pixels.<br>
> ><br>> > The Witelson approach is somewhere between these two approaches. It<br>> has<br>> > only 7 very large segments in which 100s of pixels are averaged.<br>> ><br>> > Now your question is, if we provide a tool to perform the Witelson<br>
> > segmentation. The short answer is no, but if you take your question<br>> as a<br>> > general brain registration question, the answer is yes.<br>> ><br>> > By using DiffeoMap, you can transform one brain to the other. We<br>
> are using<br>> > a very advanced diffeomorphic transformation developed by Michael<br>> Miller. So<br>> > you will find the transformation results are of quite high quality.<br>> Once you<br>> > transform one brain to the other, you can do pixel-based analysis.<br>
> ><br>> > Then you can move the transformed images into RoiEditor, in which<br>> you can<br>> > apply a pre-segmented brain atlas to segment the entire brain up to<br>> 176<br>> > areas. Currently, the CC is segmented to three areas: genu, body, and<br>
> > splenium. In this atlas, you can create your own segment. For<br>> example, you<br>> > can segment the atlas CC to 7 Witelson segments. Then transform the<br>> atlas to<br>> > each subject (or transform each subject to the atlas) to apply these<br>
> > segments to registered brain.<br>> ><br>> > So, I would recommend you to take a look at <a href="http://www.mristudio.org/" target="_blank">www.mristudio.org</a> and find<br>> > what you can do with DiffeoMap and RoiEditor.<br>
> ><br>> > Susumu<br>> ><br>> > On Mon, Feb 1, 2010 at 11:58 AM, Sona Saksena <<a href="mailto:saksena.sona@gmail.com" target="_blank">saksena.sona@gmail.com</a>>wrote:<br>> ><br>
> >> Hello,<br>> >><br>> >> I would like to calculate ADC and FA values in the seven segments<br>> of<br>> >> corpus callosum divided according to the Witelson scheme. CAn I do<br>
> that<br>> >> using DTIstudio software. Please let me know how to divide the corpus<br>> >> callsoum into seven segments using DTIstudio software or suggest<br>> any other<br>> >> possible way to do it.<br>
> >><br>> >> Any help will be highly appreciated.<br>> >><br>> >> thanks<br>> >><br>> >> regards<br>> >><br>> >> Sona Saksena<br>> >><br>
> >><br>> >> _______________________________________________<br>> >> Mristudio-users mailing list<br>> >> <a href="mailto:Mristudio-users@mristudio.org" target="_blank">Mristudio-users@mristudio.org</a><br>
> >><br></div></div>
<div>> >> Unsubscribe, send a blank email to:<br>> >> <a href="mailto:Mristudio-users-unsubscribe@mristudio.org" target="_blank">Mristudio-users-unsubscribe@mristudio.org</a><br>> >><br>> >><br>
> ><br>> > _______________________________________________<br>> > Mristudio-users mailing list<br>> > <a href="mailto:Mristudio-users@mristudio.org" target="_blank">Mristudio-users@mristudio.org</a><br>
> ><br></div>
<div>> > Unsubscribe, send a blank email to:<br>> > <a href="mailto:Mristudio-users-unsubscribe@mristudio.org" target="_blank">Mristudio-users-unsubscribe@mristudio.org</a><br>> ><br>> ><br>><br>
><br>> --<br>> Regards<br>> Sona Saksena<br></div>
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<div>> Unsubscribe, send a blank email to: <a href="mailto:Mristudio-users-unsubscribe@mristudio.org" target="_blank">Mristudio-users-unsubscribe@mristudio.org</a><br>_______________________________________________<br>
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Regards<br>Sona Saksena<br>