Software   
  Currently, we are providing the matlab code Perf_reconstruct_SPM2.m for analysing ASL data (sample image) based on SPM2 and MATLAB(5.3 or above).  (right-click-->save as to download code and ReadMe files)   
      
  The goal of this MATLAB function is to reconstruct the perfusion and CBF images from EPI images by the subtraction between labelled images and control images.   
      
  We suggest statistically analyse the CBF data in a way like this (for single subject):   
      
1. Collect the data and tranform all data to SPM ANALYZE format; 

2. Realign all EPI images to do the motion correction; 

3. Coregister realigned EPI images to anatomical T1 image;

4. Spatial normalize the anatomical T1 images and write normalized the coregistered EPI images;

5. Spatial smooth the normalized EPI images 

6. Run Perf_reconstruct_SPM2.m, threshold the EPI images and reconstruct the quantitaive CBF images;

7. Specify the design matrix for the analysis of CBF images;
    Attention: before specify the model, please change the SPM2 defaults by typing the following: 
    SPM_defaults;
    defaults.mask.thresh = -inf;

8. Estimate the specified fmri model and get the result
   
 Please contact the auhor, Hengyi Rao, Ph.D. (hengyi@mail.med.upenn.edu), for questions and bug reports.