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

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 when the training is at Kitware’s premises

Kitware SAS is registered as a training center in France

 

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Practical Information

Duration: 1 day
Next training Date: October 11, 2024
Time zone: Paris (CET / GMT+1h)
Schedule: 9am to 5pm
Location: Online
Price: 800€

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A propos du formateur

Roman joined Kitware’s European offices in Lyon as an R&D engineer in April 2022.

Roman has a computer science engineering degree from Telecom ParisTech (Paris), during which he specialized in image processing, computer vision and medical imaging.

Prior to joining Kitware, Roman worked at the IADI laboratory in Nancy, his main areas of focus were on the reconstruction and advanced image processing in breast diffusion MRI and the automatic classification of tumors by texture analysis in MRI and CT Scan.

Thanks to his academic and professional background, Roman mainly works on medical image processing projects.