Hi Qiuyun,<div><br></div><div>I would suggest you to try "pixel rejection" instead of "slice rejection". You can find a description of the pixel-rejection method here;</div><div><a href="https://www.mristudio.org/wiki/changelog/dtistudio-3.0.2">https://www.mristudio.org/wiki/changelog/dtistudio-3.0.2</a></div>
<div><br></div><div><a href="https://www.mristudio.org/wiki/changelog/dtistudio-3.0.2"></a>This method is similar to RESTORE. We are working on the paper, but meanwhile you can refer to the RESTORE paper by Pierpaoli. </div>
<div><br></div><div>I hope Hangyi can elaborate how we avoid FA>1.</div><div><br><br><div class="gmail_quote">On Thu, Dec 16, 2010 at 10:33 AM, Qiuyun Fan <span dir="ltr"><<a href="mailto:qiuyun.fan@vanderbilt.edu">qiuyun.fan@vanderbilt.edu</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">Dear DTIstudio experts,<br>
<br>
I was using DTI studio to calculate FA maps. I tried both standard<br>
linear fitting and automatic outlier rejection by slices. I was<br>
expecting FA>1 at some locations where there're serious artifacts, but<br>
I found 0<FA<1 nicely across the volume. I was wondering if there's<br>
regularization on FA when fitting signals to the tensor. If you can<br>
possibly recommend a reference paper for the outlier rejection method<br>
used in DTI mapping, it'll be very helpful.<br>
<br>
Any comments will be highly appreciated.<br>
<br>
Qiuyun<br>
<br>
--<br>
Qiuyun Fan<br>
Research Assistant<br>
Education and Brain Research Lab<br>
Institute of Imaging Science<br>
Biomedical Engineering<br>
Vanderbilt University<br>
Email: <a href="mailto:qiuyun.fan@vanderbilt.edu">qiuyun.fan@vanderbilt.edu</a><br>
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</blockquote></div><br></div>