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Hi Adam, FLIRT performs linear registration - it only applies rotations, scalings, translations, and possibly shears. For this reason, it is suitable for registering two images which are of the same brain, i.e. have the same shape. So if your images are from the same subject, you should typically use FLIRT. FNIRT performs non-linear registration, which involves local deformations to the source image to mould it into the shape of the reference image. FNIRT is typically used to register the brains of different individuals to a standard space. Paul On Nov 16 2019, at 10:01 pm, Adam Sm <[log in to unmask]> wrote: > Hello all, > > I have two input series of images: 3D T1w and 3D FLAIR. I wanna perform the registration of both images in order to pipoint the brain´s tumor. Is it possible to determine whether FLIRT or FNIRT will be a better option? In general, how can I determine which from both methods is more sufficient method for performing registration? > Moreover, is there any scientific way how to assess the quality of registration? For instance, to compare the result of FNIRT and FLIRT registration. > Thanks a lot > Adam > > ######################################################################## > To unsubscribe from the FSL list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1 > ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1