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TrdContent-type: text/html trdSection: User Commands (1)Index Return to Main Contents NAMEtrd - Computes the trace of tensors.SYNOPSIStrd [-inputmodel <dt|twotensor|threetensor|multitensor>]DESCRIPTIONReads diffusion tensor (single, two-tensor or three-tensor) data from the standard input, computes the trace of each tensor, i.e., three times the mean diffusivity, and outputs the results to the standard output. For multiple-tensor data the program outputs the trace of each tensor, so for three-tensor data, for example, the output contains three values per voxel.Divide the output by three to get the mean diffusivity. EXAMPLESCompute Tr(D) in each voxel of diffusion MRI data set SubjectA.Bfloat and store the output in TrD_A.Bdouble: dtfit SubjectA.Bfloat test/A.scheme | trd > TrD_A.Bdouble Compute Tr(D) for each component of the two-tensor fit to the same data set: twotenfit SubjectA.Bfloat test/A.scheme | trd -inputmodel twotensor > TrD_A.Bdouble Compute Tr(D) for 10000 independent trials of fitting the diffusion tensor to data synthesized from test function 1 (see datasynth(1)) using imaging scheme A.scheme and assuming signal to noise ratio of 16 at b=0: datasynth -testfunc 1 -voxels 10000 -snr 16 -schemefile A.scheme | dtfit - A.scheme | trd > TrD_A_SNR16.Bdouble OPTIONS
AUTHORSDaniel Alexander <camino@cs.ucl.ac.uk>SEE ALSOmd(1), fa(1), dtpds(1), dtfit(1), twotenfit(1), threetenfit(1), modelfit(1).BUGS
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