'''Index''' <<TableOfContents>>

= Name =
mri_concatenate_lta

= Description =
Concatenates two consecutive LTA transformations into one overall transformation, Out = LTA2*LTA1

= Synopsis =
mri_concatenate_lta [options] lta_1 lta_2 lta_final

= Arguments =
== Required Arguments ==
||lta_1     || maps some src1 to dst1 ||
||lta_2     || maps dst1(src2) to dst2 ||
||lta_final || the combined LTA maps: src1 to dst2 = LTA2*LTA1 ||

== Optional Arguments ==
||'''Flag'''||'''Description''' ||
||-tal file1 file2 || if lta2 is talairach.xfm specify src (file1) and template (file2) for the talairach xfm. ||
||-invert1 || invert lta_1 before applying it ||
||-invert2 || invert lta_2 before applying it ||
||-invertout || invert output lta ||
||-out_type  || set final LTA type: 0 VOX2VOX (default), 1 RAS2RAS ||
||-subject subject || set subject in output lta ||
||-rmsdiff radius outputfile || computes RMS diff between transforms using MJ's formula a radius of 70 is suggested. RMS will be saved in outputfile unless outputfile = nofile Eg, mri_concatenate_lta -rmsdiff 70 rms.dat lta1 lta2, note: no output lta ||

You can use 'identity.nofile' as the filename for lta2 e.g.: mri_concatenate_lta -invert1 lta1.lta identity.nofile inv1.lta

= Reporting Bugs =
Report bugs to < analysis-bugs@nmr.mgh.harvard.edu >

= See Also =
[[lta_convert]] (convert between different linear transform formats)

[[mri_concatenate_gcam]] (concatenate or invert warp fields)

[[mri_warp_convert]] (similar functionality for warp fields)

[[mri_convert]] -at or -ait (apply transforms to an image)