Insight Toolkit Training

ITK is an open-source, cross-platform system that provides developers with an extensive suite of software tools for image analysis.  Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.

cmake

Objectives

  1. Understand how to create an application using ITK
  2. Understand ITK s basic functions
  3. Create and run segmentation filters
  4. Create and run registration filters

Prerequisites

C/C++ : Basic knowledge
Image processing: Basic knowledge

Program

  • ITK Architecture
    • Processing pipeline frameworks
    • Memory & language
  • Segmentation
    • Segmentation algorithms based on region growing
  • Registration
    • Modules for customized registration algorithm
    • Multimodal affine registration.
  • Application development
    • Integrate ITK and your ITK algorithms in a C++ application

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

Practical Information

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

Company Training

All our training can be offered on site with a custom agenda. Contact us for more information.

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.