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  <title>NITRC Quantification of Structural Brain Connectivity via a Conductance Model Forum: open-discussion</title>
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  <description>General Discussion</description>
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  <item>
   <title>RE: Matrix Singularity Preventing Conductance</title>
   <link>http://stage.nitrcce.org/forum/forum.php?thread_id=12784&amp;forum_id=9058</link>
   <description>[color=#000000]Hi Corey,[/color]&lt;br /&gt;
&lt;br /&gt;
[color=#000000]Apologies for the delay in responding to your message.[/color]&lt;br /&gt;
&lt;br /&gt;
[color=#000000]Matrix singularity may happen when the (masked) image contains disconnected subregions, i.e. islands surrounded by [i]zero[/i] tensors. The best way to avoid this is to make sure that, after masking, the image remains a single connected component. Alternatively, one could use a &amp;quot;soft&amp;quot; mask, i.e. instead of setting the out-of-mask tensors to 0, multiply them by a small positive number (e.g. 0.0001).[/color]&lt;br /&gt;
&lt;br /&gt;
[color=#000000]Please don't hesitate to let us know if this fixes the issue or not.[/color]&lt;br /&gt;
&lt;br /&gt;
[color=#000000]Best,[/color]&lt;br /&gt;
[color=#000000]Iman[/color]&lt;br /&gt;
&lt;br /&gt;
[i]Originally posted by Corey Ratcliffe:[/i][quote]Hi, I'm having trouble configuring this toolbox to work with my data. It appears that somewhere in the pipeline, a matrix is being evaluated and returning an error.&lt;br /&gt;
&lt;br /&gt;
Warning: Matrix is singular to working precision.&lt;br /&gt;
&amp;gt; In solvePDE (line 23)&lt;br /&gt;
In computePotentials3D (line 29)&lt;br /&gt;
In run_conductance_example_data (line 38)&lt;br /&gt;
&lt;br /&gt;
The pipeline seems to have this issue with any data is run through it, including the fibrecup 3D example. A colleague is experiencing the same error. When run through a batch command in bash, this warning causes the fa map to generate, but the conductance map remains at 0 across the image. When run from the MATLAB terminal, the script continuously re-evaluates the above message. With smaller subsets of the image it complete, however the largest section this has worked for thus far is 30*62*2.&lt;br /&gt;
&lt;br /&gt;
The script seems particularly prone to throw the error when the ventricles are masked off, but I've not tested this extensively.&lt;br /&gt;
&lt;br /&gt;
Is this an issue that has been seen before? If so, is there any way to treat the input data to avoid this? I understand matrix singularity is data-based.&lt;br /&gt;
&lt;br /&gt;
Kind regards,&lt;br /&gt;
Corey[/quote]</description>
   <author>Iman Aganj</author>
   <pubDate>Thu, 10 Feb 2022 14:31:35 GMT</pubDate>
   <guid>http://stage.nitrcce.org/forum/forum.php?thread_id=12784&amp;forum_id=9058</guid>
  </item>
  <item>
   <title>Matrix Singularity Preventing Conductance</title>
   <link>http://stage.nitrcce.org/forum/forum.php?thread_id=12784&amp;forum_id=9058</link>
   <description>Hi, I'm having trouble configuring this toolbox to work with my data. It appears that somewhere in the pipeline, a matrix is being evaluated and returning an error.&lt;br /&gt;
&lt;br /&gt;
Warning: Matrix is singular to working precision.&lt;br /&gt;
&amp;gt; In solvePDE (line 23)&lt;br /&gt;
In computePotentials3D (line 29)&lt;br /&gt;
In run_conductance_example_data (line 38)&lt;br /&gt;
&lt;br /&gt;
The pipeline seems to have this issue with any data is run through it, including the fibrecup 3D example. A colleague is experiencing the same error. When run through a batch command in bash, this warning causes the fa map to generate, but the conductance map remains at 0 across the image. When run from the MATLAB terminal, the script continuously re-evaluates the above message. With smaller subsets of the image it complete, however the largest section this has worked for thus far is 30*62*2.&lt;br /&gt;
&lt;br /&gt;
The script seems particularly prone to throw the error when the ventricles are masked off, but I've not tested this extensively.&lt;br /&gt;
&lt;br /&gt;
Is this an issue that has been seen before? If so, is there any way to treat the input data to avoid this? I understand matrix singularity is data-based.&lt;br /&gt;
&lt;br /&gt;
Kind regards,&lt;br /&gt;
Corey</description>
   <author>Corey Ratcliffe</author>
   <pubDate>Tue, 28 Sep 2021 9:33:51 GMT</pubDate>
   <guid>http://stage.nitrcce.org/forum/forum.php?thread_id=12784&amp;forum_id=9058</guid>
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   <title>Welcome to Open-Discussion</title>
   <link>http://stage.nitrcce.org/forum/forum.php?thread_id=9784&amp;forum_id=9058</link>
   <description>Welcome to Open-Discussion</description>
   <author>Iman Aganj</author>
   <pubDate>Thu, 15 Nov 2018 22:27:47 GMT</pubDate>
   <guid>http://stage.nitrcce.org/forum/forum.php?thread_id=9784&amp;forum_id=9058</guid>
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