Hi there,

Really hoping someone has some insight! I have many volumetric datasets, which I have normalised, segmented, modulated and smoothed in SPM2. However, what I'd like to do next is twofold. First, I'd like to get some sort of quantification of brain volume for these datasets, to allow statistical comparison of the numbers, and secondly, I'd like to be able to compare groups with regard to their volume.

Is there a tool which will allow me to do this with relative simplicity? I've been searching, thinking it should be straightforward, but keep hitting brick walls, so any advice would be greatly appreciated!

Many thanks, Nyssa.

Hi Nyssa

You may want to try the LabelMap filters that Gaetan Lehmann contributed to ITK in his Insight Journal paper:

http://www.insight-journal.org/browse/pu...


Label object representation and manipulation with ITK

We are now moving most of this filters into ITK itself, but you could simply use them by downloading the source code that accompanies the paper in the Insight Journal.

Among the filters, you will find a family that
computes attributes (such as volume), and allow
to sort and select based on those attributes.



Regards,


Luis