[doc] Add laplacian in relaxometry

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
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