T2/T2* Estimation
Calculate a \(T_2\) or \(T_2^*\) map from spin echo or gradient echo data with multiple echo times. For notational simplicitly \(T_2\) and \(T_2^*\) will be refered to as \(T_2\) below.
At least two volumes are required, however, more volumes are advised if a larger range of values are expected. For accurate results it is required that no other setting but TE varies between images.
An optional mask can also be provided to limit the calculations to a region. In addition to the \(T_2\) map, a \(S_0\) map which contains all weighting that is independent of is also produced. The parameter values are obtained by fitting the data to the signal equation
where \(i\) is an index over \(n\) images with different echo times.
Inputs
Dataset
Input dataset with at least two volumes with different echo times in one or more channels of the dataset.
Type: Image, List, Required, Single
Mask
A 3D binary mask defining the region in the image where the ADC map is calculated.
Type: Mask, List, Optional, Single
Outputs
T2
The estimated T2 map.
Type: Image
S0
The estimated \(S_0\) map.
Type: Image
Settings
Configure
Algorithm Selection
Use a linearized or a nonlinear fitting model. When selecting a nonlinear model, equation (1) is fit directly with a square loss term. In the linearized case the data is transformed to yield a system of linear equations.
Values: Linear, NonLinear
Batch Size Integer
The number of voxels that are computed per batch. This is a trade-off between performance and memory consumption.
Keep Metadata Boolean
Keep or discard metadata in the parameter maps.
Configure NonLinear
Tolerance Float
The threshold change in the objective function. Changes smaller than this value imply that the fitting has converged.
Max Iterations Integer
Maximum number of iterations.
Return Convergence Map Boolean
Output a binary mask, where all true voxels have converged in the fit. This can be used to exclude voxels that did not converge.
Metadata
Echo Time Tag Text
The \(TE\)-value tag name in the metadata.
Echo Time Source Selection
Select the \(TE\)-value source for the calculation. The \(TE\)-values can be taken from the metadata, or can be supplied as an input Numeric Array.
Values: Metadata, Numeric Array Input
See also
Keywords:
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