* Decide on citations - they code was developed for the sparse layered graph paper from Niels, cite is you use his implementation. Example applications
* Make nice figure for qim webpage
* Reorganise notebooks (archive or move to parent folder), also the data
* Describe tutorials content in readme (one is for learning the tool and the other two are LS integrated in a pipeline to solve users)
* Reference user cases where LS was used
* Figure in qim.dk
* References in qim.dk
* qim.dk/tutorials should reference these


Anders' comments that we are going to solve
* Then I needed to use qim-tools. This was more difficult, because I cloned qim-tools and I did not have a description on how to install the tool. But it is just writing: 'python setup.py install' on the command line - solved by just copying the show_vol function into utils
* I got an error, because I did not have SimpleITK installed. I installed it from Conda.


DONE
* Move to QIM tools - we decided to have it in tutorials. The tool is in Niels' repo
* Make informative readme on the use of layered surface detection tool.
* There should be a description of how to install dependencies.
* I had to install slgbuilder by typing: 'pip install slgbuilder' in the command line
slgbuilder is code from Niels Jeppesen, which I guess it not so well known.