First of all, i would like to appriciate your efforts to provide step by step discription for T2 curve fitting. Actually, I’m new to matlab eventhough i tried to run the above code in matlab and it works fine for sample data.

Now, could you please let me know few things.

Actually, I’ve got a series of MR images (Multi echo- spin echo with fix TR and different TE value). According to our literature to generate color coded map of T2 relaxations. we need to fit the signal intesities pixel by pixel using mono expenential curve fitting.
Since, I’m new to Matlab. Coul du please let me know how to genereate signal intensities from that Image and after that. how to generate color coded map.

i would be very thankful for your kind consideration to my query.

Thanks & regards
Dileep

if (nargin == 3)
[str,maxsize,endian] = computer;
end

That gives the computer’s default “endian”, whether it’s ‘b’ on godzilla or ‘l’ on house.

I believe my Erdős number is 4. I published with a guy in Vancouver, who published with his supervisor, his supervisor published with someone else who had published with Erdős. Pretty cool.

Benford’s Law makes me feel uneasy. It is one of those things that the more I think about, the more my tummy hurts.

I wonder what my Erdős number is?

This toolkit was made in our lab (imaginginformatics.ca) and is super-useful for mac. Once this toolkit is installed Finder understands dicom files – so you can see thumbnails of the files as well as the dicom header, meaning that spotlight can search dicom headers. You can double-click dicom file sand quickdicom acts as a dicom viewer with standard viewing options like window/level. Included in the package is a framework that can be used by Objective C or Python.

Another feature I found quite by accident is that quickdicom’s window/level function becomes available to pixelmator. I often use this filter now to quickly touch-up photos.

Cheers!