brain
Tools: SPM, cor2mni Assume the image is “a.img”, do v = spm_vol('a.img'); v.mat If v.mat is a diagonal matrix, you can simply read the number and they are the voxel size in mm. If not, a trick is to calculate the distance between adjacent
SVM is mostly commonly used for binary classifications. But one branch of SVM, SVM regression or SVR, is able to fit a continuous function to data. This is particularly useful when the predicted variable is continuous. Here I tried some very simple c
This is an example of brain activation plotted on surface. In many circumstances surface view is much more straightforward than a slice view. Here is how I created such a plot using MatLab and SPM. Environment and Tools: Windows XP MatLab (v7.6) SPM
We use TCP/UDP/IP Toolbox 2.0.5 to read and write data from/to a TCPIP port. It’s fast and reliable. The version we use is 2.0.5. Below is a matlab sample script showing how to connect to another computer (called ETG-4000) with TCPIP : %Connect
Noise removal methods in NIRS can be divided into 4 categories: reducing noise based on its temporal characteristics: The instrument noise is usually in the high frequency band and thus can be removed by band pass filtering. Band pass filtering can a
I saw at least two web pages saying that the reference slice can be chosen during slice timing correction. For example, http://www.fil.ion.ucl.ac.uk/spm/doc/manual/spatial.htm. I disagree. Let’s take the first volume as example. Assume TR=2 and
The mostly used functions I use in SPM is spm_get (for spm2) and spm_select (spm5 and 8). These two functions are used to get files (usually image files). Frankly speaking I like spm_get much better as it’s intuitive and easy to use. Here is h
setenv FSLDIR /fs/quarry/cuixu/fsl41/fsl source ${FSLDIR}/etc/fslconf/fsl.csh setenv PATH ${FSLDIR}/bin:${PATH}
Text source: http://imaging.mrc-cbu.cam.ac.uk/imaging/MniTalairach Talairach brain (single) the brain dissected and photographed for the famous Talairach and Tournoux atlas. The atlas has Brodmann’s areas labelled, albeit in a rather approximat
