Add Docker build instructions

.gitignore

@@ -0,0 +1 @@
+.DS_Store

DOCKER.md

@@ -0,0 +1,37 @@
+Easiest way to get MRIcron pre-compiled
+   curl -fLO https://github.com/rordenlab/MRIcroGL12/releases/latest/download/MRIcroGL_linux.zip
+
+
+Building MRIcron from source code using Docker 
+
+
+docker pull jgoerzen/debian-base-standard
+docker run -td --stop-signal=SIGPWR --name=name jgoerzen/debian-base-standard
+docker run -it jgoerzen/debian-base-standard /bin/bash
+
+apt-get update
+apt-get -yq install lazarus
+apt-get -yq install git
+cd ~
+git clone https://github.com/neurolabusc/MRIcron.git
+cd MRIcron
+lazbuild -B ./mricron.lpr
+# create distribution
+mkdir ~/distro  
+mkdir ~/distro/MRIcron
+cp ./MRIcron ~/distro/MRIcron/MRIcron
+cp -a ./Resources/ ~/distro/MRIcron
+
+Notes
+
+1.) MRIcron works best if pigz and dcm2niix are installed.
+
+2.) MRIcron does list depend on some common Linux packages, which you can find by typing "ldd MRIcron"
+
+
+Run8
+
+syntaxWM13.run08+orig.HEAD
+syntaxWM13.run08+orig.BRIK
+
+syntaxWM13.run08.nii

README.md

@@ -8,12 +8,13 @@ MRIcron is a viewer for brain imaging data.
 
 You can download the software from several locations:
 
- - Download the latest version from [NITRC](https://www.nitrc.org/projects/mricron).
- - Download the [Github](https://github.com/neurolabusc/MRIcroGL/releases).
- - Run the following command to get the latest version for Linux, Macintosh or Windows: 
-   * `curl -fLO https://github.com/rordenlab/MRIcroGL12/releases/latest/download/MRIcroGL_linux.zip`
-   * `curl -fLO https://github.com/rordenlab/MRIcroGL12/releases/latest/download/MRIcroGL_macOS.dmg`
-   * `curl -fLO https://github.com/rordenlab/MRIcroGL12/releases/latest/download/MRIcroGL_windows.zip`
+ - Download from [NITRC](https://www.nitrc.org/projects/mricron).
+ - Download from [Github](https://github.com/neurolabusc/MRIcron/releases).
+ - Run the following command to download the latest version for Linux, Macintosh or Windows: 
+   * `curl -fLO https://github.com/neurolabusc/MRIcron/releases/latest/download/MRIcron_linux.zip`
+   * `curl -fLO https://github.com/neurolabusc/MRIcron/releases/download/MRIcron_macOS.dmg`
+   * `curl -fLO https://github.com/neurolabusc/MRIcron/releases/latest/download/MRIcron_windows.zip`
+
 
 Once you have downloaded and extracted the software, you may want to visit the [wiki](https://www.nitrc.org/plugins/mwiki/index.php/mricron:MainPage) for usage advice.
 
@@ -23,7 +24,9 @@ This software includes a [BSD license](https://opensource.org/licenses/BSD-2-Cla
 
 ##### Future
 
-MRIcron is robust and stable, but development efforts have moved to MRIcroGL. The latest releases of MRIcron only include the MRIcron viewer and the dcm2niix image converter. Once upon a time, the software was distributed with statistics (NPM) and legacy image converter (dcm2nii). One can still download old releases of MRIcron from [NITRC](https://www.nitrc.org/projects/mricron) or compile these legacy tools (see next section).
+MRIcron is robust and stable, but development efforts have moved to MRIcroGL. The primary disadvantage of MRIcroGL is that it requires support hardware accelerated OpenGL 3.3 graphics. Therefore, MRIcron remains useful for users of older computers or when connecting to remote supercomputer clusters. These users may also consider fsleyes which can be set up to only require [OpenGL 1.4 and indirect rendering](https://users.fmrib.ox.ac.uk/~paulmc/fsleyes/userdoc/latest/troubleshooting.html).
+
+The latest releases of MRIcron only include the MRIcron viewer and the dcm2niix image converter. Once upon a time, the software was distributed with statistics (NPM) and legacy image converter (dcm2nii). One can still download old releases of MRIcron from [NITRC](https://www.nitrc.org/projects/mricron) or compile these legacy tools (see next section).
 
 NPM is a tool for non parametric analysis of neuroimaging lesion data. dcm2nii is designed for converting the complicated DICOM format used in medical imaging to the simple NIfTI format preferred by scientists. These tools are mature and hopefully robust but no longer in active development.