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+Interfacing with Matlab and Octave
+==================================
+
+Thanks to the REST API of Orthanc, it is easy to access DICOM images
+from Matlab or Octave, as depicted in the following sample image:
+
+.. image:: ../images/Matlab.png
+           :align: center
+           :width: 470px
+
+Both Matlab and Octave have access to HTTP servers thanks to their
+built-in `urlread() function
+<http://nl.mathworks.com/help/matlab/ref/urlread.html>`__.  Once must
+simply install a Matlab/Octave library to decode JSON files.  The
+`JSONlab toolkit
+<http://www.mathworks.com/matlabcentral/fileexchange/33381-jsonlab--a-toolbox-to-encode-decode-json-files>`__
+works perfectly to this end.
+
+.. highlight:: matlab
+
+Using JSONlab, the following code will download and display a DICOM image::
+
+  SERIES = 'ae164c84-e5bd0366-ba937a6d-65414092-f294d6b6';
+  URL = 'http://orthanc.chu.ulg.ac.be/demo';
+
+  # Get information about the instances in this DICOM series
+  instances = loadjson(urlread([ URL '/series/' SERIES '/instances' ]));
+
+  # Select one slice from the series
+  instance = instances{1,1}.ID
+
+  # Decode the slice with Orthanc thanks to the "/matlab" URI
+  slice = eval(urlread([ URL '/instances/' instance '/matlab' ]));
+
+  # Compute the maximum value in this slice
+  max(max(slice))
+
+  # Display the slice
+  imagesc(slice)
+
+  # Annotate the graph with the patient name and ID
+  tags = loadjson(urlread([ URL '/instances/' instance '/tags?simplify' ]));
+  title([ 'This is a slice from patient ' tags.PatientID ' (' tags.PatientName ')' ])