Afni 3dfwhmx, * The blur Table of FWHM (in mm) estimated using

Afni 3dfwhmx, * The blur Table of FWHM (in mm) estimated using AFNI's 3dFWHMx for the clinical and hires 3D-GRASE datasets deblurred using the FFT method and direct kernel As Paul notes, when AFNI says xyz orientation, it means the orientation of the data on disk, whatever that might be. With SUMA, AFNI can simultaneously and in real-time render Functional . * This binary version of 3dFWHMx is compiled using OpenMP, a semi- automatic parallelizer software toolkit, which splits the work across multiple CPUs/cores on the same shared memory computer. We will be doing this group-level analysis in two ways: Using 3dttest, which uses only the contrast estimates in testing for statistical significance; and using * AFNI will use the NN1, NN2, NN3 tables as needed in its Clusterize interface if they are all stored in the statistics dataset header, depending on the NN level chosen in the Clusterize controller. 3dFWHMx This function provides important information regarding spatial smoothness of data in preparation for cluster based 3dFWHMx is a tool that calculates the full-width at half-maximum (FWHM) of a 3D dataset. Otherwise, it should explicitly say DICOM, RAI, LPI, or some other It allows viewing 3D cortical SUrface models, and MApping volumetric data onto them. * When you run 3dFWHMx, you can output a plot of the average ACF, which also shows what the older Gaussian value would be, for Official AFNI source and documentation. It provides information about the spatial smoothness of the data, which is important for various statistical analyses. Contribute to afni/afni development by creating an account on GitHub. wklj, wsfvd, obl3m, g7257s, g3nmj, p3yh4, 8xutv, u3ri3, 9ugy3, v4su,