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3D data processing toolbox

Project description

[![Build Status](https://travis-ci.org/mjirik/lisa.svg)](https://travis-ci.org/mjirik/lisa) [![Coverage Status](https://coveralls.io/repos/mjirik/lisa/badge.svg)](https://coveralls.io/r/mjirik/lisa) [![Documentation Status](https://readthedocs.org/projects/liver-surgery-analyser/badge/?version=latest)](https://readthedocs.org/projects/liver-surgery-analyser/?badge=latest)

LISA

LIver Surgery Analyser.

![lisa logo](https://raw.githubusercontent.com/mjirik/lisa/master/applications/LISA256.png)

Install

See our [install notes](https://github.com/mjirik/lisa/blob/master/INSTALL.md) for Linux, Mac OS and Windows

Install stable branche on Linux or Mac OS with:

wget https://raw.githubusercontent.com/mjirik/lisa/master/installer.sh source installer.sh stable

or use [windows installer](http://147.228.240.61/queetech/install/setup_lisa.exe)

or use [Lisa in Ubuntu for VirtualBox](http://147.228.240.61/queetech/install/lisa_ubuntu14.04.vdi)

Get sample data

python -m lisa –get_sample_data

Run

Object (usualy liver) extraction is started by organ_segmentation script

lisa

or

./lisa.sh

or

python lisa

or

python -m lisa

Segmentation use two types of seeds wich are setted by left and right mouse button. For better volume measurement control use additional parameters for example “-mroi” and “-vs 0.8”. If “-mroi” parameter is used you can select region of interest.

Vessel localization uses saved data (organ.pkl) from organ_segmentation:

python src/vessels_segmentation.py -bg -i organ.pkl

Now user interactivity is used to set threshold parametr.

Virtual liver resection is based on data stored in previous step (vessels.pkl).

python src/vessel_cut.py -oe -i vessels.pkl

In this script is selected cut on vessel by user interactivity. Resected and remaining volume is then calculated.

Documentation

Generated documentation can be found [here](http://147.228.240.61/queetech/Lisa-docs/html/)

Manual generation:

cd docs make latexpdf

Tests

nosetests

Video

[![Video webcam tracking](https://img.youtube.com/vi/O408OKV5LhQ/0.jpg)](https://www.youtube.com/watch?v=O408OKV5LhQ)

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