Automatic Tracking of Guidewire Tip From Fluoroscopic Videos Using RuSio Framework

This code implemented the method of RuSio framework.

RuSio framework Overview

Prerequisites

Test on:

Windows 10, 64 bits
Linux Ubuntu 18 LTS, 64 bits
MacOS

Development Tool:

PyCharm

Development Language:

Python (3.6)

Require evironment to excute the python code:

Anaconda
Opencv

Environment Installation

You can simply follow with intruction on http://www.cs.cmu.edu/~galeotti/methods_course/assignment-itkinstall.html for installing Python and SimpleITK for Python or

If you already had 64-bit Anaconda installed, use the command line to enter these commands one at a time (they may prompt you with questions) to update python and install python versions of both VTK and SimpleITK:

conda update conda
conda update matplotlib
conda update scipy
conda install vtk 
conda install -c simpleitk simpleitk=1.2.0

Install opencv

pip install opencv-python
pip install opencv-contrib-python

Test Demo

After run msa_main.py, you will get this window:

Simply check the box for Tracking or Guidewire tip Evaluation or both

Drag target video sequence into correct position to run RuSio framework

Test Showcase

The segmentation collection of guidewire tip from RuSio framework in 8 consecutive frames from 128 to 135.

luluhan123 / mvision