Re: time domain curve fitter

Posted by Simon Roussel on Nov 16, 2006; 9:07am
URL: http://imagej.273.s1.nabble.com/time-domain-curve-fitter-tp3701002p3701003.html

Hi Daniel,
Thanks for your reply,
I am looking forward for your tool to analyse my T2*-DSC MRI.
I am actually also working on C6 brain tumors on rats with BBB alteration.
I will thus appreciate your implementation of the Boxerman Weisskoff method.
For stroke studies crude maps of CBV and MTT might be a start, before going
further to some modeling.
I'll have a look to the Li paper you mentionned.
I am also starting to work with DTI, so I'll have a look also to JDTI.
Thanks again, you have given me quite some perspectives.
Cheers,
Simon



On Wed, 15 Nov 2006 09:42:30 -0500, Daniel Barboriak <[hidden email]>
wrote:

>Hi Simon,
>
>We are fairly close to releasing a plugin that does some but probably not
>all that you want.  I'm assuming, perhaps incorrectly, that you are doing
>T2-weighted dynamic susceptibility contrast MRI.  Our plugin called DSCoMAn
>(Dynamic Susceptibility Contrast MR Analysis) will be able to convert image
>intensity DSC MRI data to delta R2 images.  Because we are studying brain
>tumors, we are analyzing the data using the Boxerman Weisskoff method.  For
>our inital release, users will also have the option of making crude maps of
>rCBV and rMTT using the raw delta R2 images.  
>
>Here is the URL with a description:
>
>http://dblab.duhs.duke.edu/modules/news/article.php?
>com_mode=nest&com_order=1&storyid=14
>
>This is (I hope) only a couple of weeks away.
>
>ImageJ has it's own simplex gamma variate fitting routine (Analyze ...
>Tools ... Curve Fitting).  This could be adapted for your purposes,
>although to be honest I am persuaded by the Li's argument (see
>http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?
>db=pubmed&cmd=Retrieve&dopt=AbstractPlus&list_uids=14684217&query_hl=14&itoo
>l=pubmed_docsum ) that the formula would need to be recast or a local
>density random walk distribution would be better to use.  This will likely
>be a future direction for our software.
>
>Thanks,
>
>--db
>
>Daniel Barboriak, MD
>Neuroradiology
>Duke University Medical Center
>
>  
>On Tue, 14 Nov 2006 10:14:02 -0500, Simon Roussel <[hidden email]>
>wrote:
>
>>Hi,
>>ImageJ has got a curve fitter.
>>I am looking for a "time-domain" or "z axis" image fitter.
>>I would like to have for each pixel of a stack, a fit (actually
>>gamma-variate)  along the z axis. It could return a stack with the same z
>>values, but where the pixels values would be predicted from the fit, or
>>alternatively another stack with the coefficients of the fit.
>>I would use that to analyse MRI data following first-pass in the brain of a
>>contrast agent to derive cerebral blood volume and mean transit time.
>>Does anyone know a plugin, macro which already does that or could be
>adapted ?
>>Thanks in advance,
>>Cheers,
>>Simon
>>========================================================================
>========================================================================