Our subjects had SPECT transporter images(TRODAT for dopamine transporters) and their T1 MRI images (for VBM analysis). We planed to perform correlation analysis between such 2 kind of image modalities by WFU Biological Parametric Mapping Toolbox.
Since our MRI images were analysed by DARTEL related process, our SPECT images should also be analysed by DARTEL related ones.
According to previous discussion (https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=SPM;3779f1d9.0909), we performed following analyses:
Step 1: Within subject coregistration: Use SPM function, Coreg:estimate (without reslicing) and we suspected the registration information would be stored in the header of source images (no other output would be found)
Step 2: Routine DARTEL analysis for MRI data
Step 3: as performing the function, "DARTEL toolbox: normalise to MNI space option" and use source images (SPECT) from Step 1.
For receptor/transporter binding potential images, I suspected we should choose Preserve Amount in Step 3 according to previous discussion:
I wondered if there was any mistake in our above analysis methods?
Furthermore, considering the image features of PET or even SPECT images, it might have to smooth such images with large amount (ex 12 mm compared to default 8 mm in DARTEL). I wonder if such was suitable if we wanted to perform further analysis by BPM that used both VBM and PET/SPECT images concurrently as in this subject:
Thanks for any help!