3D Slicer Training

3DSlicer is a visualization and analysis software dedicated to image data. Its intuitive GUI allows for using advanced image processing algorithm through open source libraries. The design originally focused on research projects directly or indirectly related to imaging. 3DSlicer is now used world-wide, in a variety of projects running from medical imaging to astronomy.

The objectives of this course will interest users of scientific visualization tools, but also developers willing to customize the interface.

Slicer

Objectives

  1. Writing simple python scripts
  2. Loading/Saving data (DICOM, models,…)
  3. Mastering the 3DSlicer’s interface
  4. Using segmentation and registration algorithms

Prerequisites

Basic knowledge in imaging (volume, processing)

Program

  • 3DSlicer interface overview
    • Usual imaging software
    • 3DSlicer specific functionalities
  • Format support (DICOM, mesh,…)
    • Non-exhaustive list of supported formats
    • Loading, visualization and export
  • Segmentation and registration algorithms
    • Manual and semi-automatic segmentation tools
    • Quantitative analysis of data
    • Region growing algorithm
    • Manual and semi-automatic registration tools
  • Python Scripting
    • 3DSlicer GUI modification through simple scripts
    • Basic image processing using NumPy

This training course will be taught in English. Course notes are also in English.
Participants are asked to bring a laptop computer for this training session.
The instructor will communicate all the specifications required to each participants before the training session.

Lunch is included.

Kitware SAS is registered as a training center in France

 

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Practical Information

Duration: 1 day
Next training Date: June 17, 2021
Location: Online
Price: 800€

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Meet the instructor

Julien Finet is a Technical Leader at Kitware Lyon.
 

At Kitware, Julien Finet has been an R&D engineer and a project manager on numerous projects related to Medical imaging (3D Slicer, ITK, DICOM…), Scientific Visualization (VTK, ParaView…), Computer Aided Design (CAD) and more recently over the Web (VTK.js, ParaViewWeb, React…).

 

At Kitware, Julien Finet has been involved in numerous projects for the Medical and Scientific Visualization departments(VTK, ITK, ParaView…). He notably was the technical lead for porting 3D Slicer to Qt. He has been a major developer on CTK and was leading the Bender project, a Slicer based application for repositioning voxelized anatomical models. In 2014, Julien moved to Kitware France.