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BEP016: Fix missing anchor links
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@Lestropie @oesteban
Lestropie authored and oesteban committed Sep 18, 2019
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Expand Up @@ -331,9 +331,9 @@ ideally be integrated in a future version of the specification.
| `bs` | Ball-and-Stick(s) model \[[Behrens2003](#behrens2003)\],\[[Behrens2007](#behrens2007)\],\[[Jbabdi2012](#jbabdi2012)\] | One [spherical coordinates](#data-spherical) image with parameter name "`sticks`", providing both fibre volume fractions and orientations using polar angles;<br>Optional scalar images with parameter names {"`bzero`", "`dmean`", "`dstd`"} providing the model-estimated *b*=0 signal intensity, mean stick diffusivity, and standard deviation of stick diffusivities respectively |
| `csa` | Constant Solid Angle \[[Aganj2010](#aganj2010)\] | [Spherical harmonics](#data-sh) image |
| `csd` | Constrained Spherical Deconvolution \[[Tournier2007](#tournier2007)\],\[[Descoteaux2009](#descoteaux2009)\],\[[Jeurissen2014](#jeurissen2014)\] | [Spherical harmonics](#data-sh) image<br>If a multi-tissue decomposition is performed, provide one individual 4D image per tissue, with "`_desc-<desc>`" filename field being an abbreviation of the tissue estimated by that particular ODF |
| `dki` | Diffusion Kurtosis Imaging \[[Jensen2005](#jensen2005)\] | Single [parameter vectors] image with 21 volumes in the order: *D<sub>xx</sub>*, *D<sub>xy</sub>*, *D<sub>xz</sub>*, *D<sub>yy</sub>*, *D<sub>yz</sub>*, *D<sub>zz</sub>*, *W<sub>xxxx</sub>*, *W<sub>yyyy</sub>*, *W<sub>zzzz</sub>*, *W<sub>xxxy</sub>*, *W<sub>xxxz</sub>*, *W<sub>xyyy</sub>*, *W<sub>yyyz</sub>*, *W<sub>xzzz</sub>*, *W<sub>yzzz</sub>*, *W<sub>xxyy</sub>*, *W<sub>xxzz</sub>*, *W<sub>yyzz</sub>*, *W<sub>xxyz</sub>*, *W<sub>xyyz</sub>*, *W<sub>xyzz</sub>* (*D* is the diffusion tensor, *W* is the kurtosis tensor)<br>OR<br>6 diffusion tensor coefficients as [parameter vectors](#data-param) image with parameter name "`tensor`";<br>15 kurtosis tensor coefficients as [parameter vectors](#data-param) image with parameter name "`kurtosis`";<br>Optional: estimated *b*=0 intensity as scalar image with parameter name "`bzero`" |
| `dki` | Diffusion Kurtosis Imaging \[[Jensen2005](#jensen2005)\] | Single [parameter vectors](#data-param) image with parameter name "`all`" with 21 volumes in the order: *D<sub>xx</sub>*, *D<sub>xy</sub>*, *D<sub>xz</sub>*, *D<sub>yy</sub>*, *D<sub>yz</sub>*, *D<sub>zz</sub>*, *W<sub>xxxx</sub>*, *W<sub>yyyy</sub>*, *W<sub>zzzz</sub>*, *W<sub>xxxy</sub>*, *W<sub>xxxz</sub>*, *W<sub>xyyy</sub>*, *W<sub>yyyz</sub>*, *W<sub>xzzz</sub>*, *W<sub>yzzz</sub>*, *W<sub>xxyy</sub>*, *W<sub>xxzz</sub>*, *W<sub>yyzz</sub>*, *W<sub>xxyz</sub>*, *W<sub>xyyz</sub>*, *W<sub>xyzz</sub>* (*D* is the diffusion tensor, *W* is the kurtosis tensor)<br>OR<br>6 diffusion tensor coefficients as [parameter vectors](#data-param) image with parameter name "`tensor`";<br>15 kurtosis tensor coefficients as [parameter vectors](#data-param) image with parameter name "`kurtosis`";<br>Optional: estimated *b*=0 intensity as scalar image with parameter name "`bzero`" |
| `dsi` | Diffusion Spectrum Imaging \[[Wedeen2008](#wedeen2008)\],\[[Paquette2017](paquette2017)\] | [Probability distribution functions](#data-pdf) | |
| `dti` | Diffusion Tensor Imaging \[[Basser1994](#basser1994)\] | Single [parameter vectors](#data-param) image with 6 volumes in the order: *D<sub>xx</sub>*, *D<sub>xy</sub>*, *D<sub>xz</sub>*, *D<sub>yy</sub>*, *D<sub>yz</sub>*, *D<sub>zz</sub>*<br>OR<br>Tensor coefficients as [parameter vectors] image with parameter name "`tensor`";<br>Estimated *b*=0 intensity as [scalar](#data-scalar) image with parameter name "`bzero`" |
| `dti` | Diffusion Tensor Imaging \[[Basser1994](#basser1994)\] | Single [parameter vectors](#data-param) image with parameter name "`all`" with 6 volumes in the order: *D<sub>xx</sub>*, *D<sub>xy</sub>*, *D<sub>xz</sub>*, *D<sub>yy</sub>*, *D<sub>yz</sub>*, *D<sub>zz</sub>*<br>OR<br>Tensor coefficients as [parameter vectors](#data-param) image with parameter name "`tensor`";<br>Estimated *b*=0 intensity as [scalar](#data-scalar) image with parameter name "`bzero`" |
| `forecast` | Fiber ORientation Estimated using Continuous Axially Symmetric Tensors \[[Zuchelli2017](#zuchelli2017)\] | [Spherical harmonics](#data-sh) image |
| `fwdti` | Free water DTI \[[Hoy2015](#hoy2015)\] | One [parameter vectors](#data-param) image with parameter name "`tensor`", containing 6 volumes in the order: *Dc<sub>xx</sub>*, *Dc<sub>xy</sub>*, *Dc<sub>xz</sub>*, *Dc<sub>yy</sub>*, *Dc<sub>yz</sub>*, *Dc<sub>zz</sub>* (*Dc* is the free-water-corrected diffusion tensor);<br>One [scalar](#data-scalar) image with parameter name "`fwf`" corresponding to the estimated free water fraction |
| `mapmri` | Mean Apparent Propagator MRI \[[Ozarslan2013](#ozarslan2013)\] | |
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