dwiSqrtODF

dwiSqrtODF-methods

dwiSqrtODF,ANY-method

dwiSqrtODF,dtiData-method

Object of class <code>"dtiData"</code>

object

Character, currently only "sqrtODF" is possible

what

Even integer, Order of spherical harmonics approximation.

order

Integer, Order of radial approximation.

forder

Non-negative, Regularization parameter.

lambda

Numeric vector, grid of diffusivity parameters, typically about 1e-3.

Compute a positive definite estimate of the Ensemble Average Propagator (EAP)
and Orientation Density Function (ODF) using the approach of Cjeng et. al (2012).

models

methods

Diffusion Weighted Imaging (DWI) is a Magnetic Resonance Imaging
modality, that measures diffusion of water in tissues like the human
brain. The package contains R-functions to process diffusion-weighted
data. The functionality includes diffusion tensor imaging (DTI),
diffusion kurtosis imaging (DKI), modeling for high angular resolution
diffusion weighted imaging (HARDI) using Q-ball-reconstruction and
tensor mixture models, several methods for structural adaptive
smoothing including POAS and msPOAS, and a streamline fiber tracking
for tensor and tensor mixture models.
The package provides functionality to manipulate and visualize results
in 2D and 3D.

Karsten Tabelow

Analysis of Diffusion Weighted Imaging (DWI) Data

Joerg Polzehl

Felix Anker

dwiSqrtODF-methods function

<dl class="dl-horizontal"><dt><code>signature(object = "ANY")</code></dt><dd>Returns a warning.</dd><dt><code>signature(object = "dtiData")</code></dt><dd>Compute a positive definite estimate of the Ensemble Average Propagator (EAP)
and Orientation Density Function (ODF) using the approach of Cjeng et. al (2012).</dd>
</dl>

dwiSqrtODF-methods: Methods for positive definite EAP and ODF estimation in Package dti

Description

Usage

Arguments

Methods

References

See Also