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tend-expand - Man Page

converts masked non-redundant tensor images to redundant

Synopsis

tend expand [-t <thresh>] [-s <scale>] [ -unmf ] [ -ro ] [ -roo ] [-i <nin>] [-o <nout>]

Description

Converts masked non-redundant tensor images to redundant. For images of 3D tensors, this converts from a 7-value tensor starting with the confidence/mask value (conf, Dxx, Dxy, Dxz, Dyy, Dyz, Dzz) to a 9-value tensor with the full matrix (Dxx, Dxy, Dxz, Dxy, Dyy, Dyz, Dxz, Dyz, Dzz). This is set to all zeros when the confidence is below the given threshold. For images of 2D tensors, the conversion is from (conf, Dxx, Dxy, Dyy) to (Dxx, Dxy, Dxy, Dyy).

Options

-t <thresh>

confidence level to threshold output tensors at. Should be between 0.0 and 1.0. (float); default: “0.5

-s <scale>

how to scale values before saving as 9-value tensor. Useful for visualization tools which assume certain characteristic ranges of eigenvalues (float); default: “1.0

-unmf

apply and remove the measurement frame, if it exists

-ro

reduce general image orientation to axis-aligned spacings

-roo

reduce general image orientation to axis-aligned spacings, while also making some effort to set axis mins from space origin

-i <nin>

input diffusion tensor volume, with 7 values per sample; default: “-

-o <nout>

output tensor volume, with the 9 matrix components per sample (string)

See Also

tend(1), tend-shrink(1)

Referenced By

tend(1), tend-shrink(1).

April 2021