Diffusion.ProcessDiffusion Tensor Estimation There are two estimation methods available: least squares and weighted least squares. Least squares is the traditional method for tensor estimation and the fastest one. Weighted least squares takes into account the noise characteristics of the MRI images to weight the DWI samples based on their intensity magnitude.]]>0.1.0.$Revision: 1892 $(alpha)http://wiki.slicer.org/slicerWiki/index.php/Documentation/Nightly/Modules/DWIToDTIEstimation3D Slicer Contribution and Software License AgreementRaul San Jose, Lauren O'Donnell, Demian Wassermann, Isaiah Norton, Alex Yarmarkovich (SPL, LMI, BWH, SlicerDMRI) The SlicerDMRI developers gratefully acknowledge funding for this project provided by NIH NCI ITCR U01CA199459 (Open Source Diffusion MRI Technology For Brain Cancer Research), NIH P41EB015898 (National Center for Image-Guided Therapy) and NIH P41EB015902 (Neuroimaging Analysis Center), as well as the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.]]>inputVolumeinput0inputMaskVolumemmaskinputoutputTensoroutput1outputBaselineoutput2estimationMethodeenumerationLSLSWLSShiftNegativeEigenvaluesshiftNegfalse