From bb488f81ca47030ceee22fb5105d2817870a0510 Mon Sep 17 00:00:00 2001 From: Olivier Commowick Date: Thu, 6 May 2021 16:32:16 +0200 Subject: [PATCH] [doc] Add laplacian in relaxometry --- docs/source/relaxometry.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/relaxometry.rst b/docs/source/relaxometry.rst index 32a297190..128ea2583 100644 --- a/docs/source/relaxometry.rst +++ b/docs/source/relaxometry.rst @@ -24,7 +24,7 @@ We provide from Anima 3.0 new tools for multi-compartment T2 and myelin water fr * **animaGammaMixtureT2RelaxometryEstimation** implements variable projection estimation of the parameters and weights of three T2 Gamma distributions using two different modes (toggled by the ``-U`` option) [3,4]: only middle T2 compartment mean estimation or all class mean parameters estimation. In both cases, all weights are deduced from the estimated parameters using variable projection * **animaGMMT2RelaxometryEstimation** implements, for robustness to clinical acquisitions, a fixed parameter estimation of a Gaussian T2 mixture [7]. In this implementation, only the weights of the three T2 compartments are estimated, their PDFs being fixed according to prior knowledge on the tissues. -* **animaMultiT2RelaxometryEstimation** provides an implementation of several methods of the literature for multi-peak T2 estimation [2,5,6]. It provides several types of regularization: Tikhonov or non local regularization. Again these methods make the deduction of myelin water fraction more difficult and quite sensitive to the regularization. +* **animaMultiT2RelaxometryEstimation** provides an implementation of several methods of the literature for multi-peak T2 estimation [2,5,6]. It provides several types of regularization: Tikhonov, Laplacian or non local regularization. Again these methods make the deduction of myelin water fraction more difficult and quite sensitive to the regularization. MRI simulation --------------