The Insight Toolkit (ITK) has become a standard in academia and industry for medical image analysis. This course provides an introduction to the toolkit’s purpose, functionality, and architecture through hands-on exercises explained by the toolkit’s authors.

Objectives

  • Demonstrate how Python script writing can be used to access the algorithms in ITK and the multitude of ITK extensions that are freely available on the web
  • Present best practices for taking advantage of ITK in your imaging research and commercial products

Prerequisites

  • Basic Python programming knowledge

Agenda

This course covers 8 hours of material, which can be divided into shorter sessions around your availability.

Our Recommendation: For onsite courses, we recommend either one 8-hour day of instruction (morning and afternoon sessions with a lunch break) or two 4-hour sessions on consecutive days. For an online course, we can accommodate a variety of schedules, including 2-hour sessions held on four consecutive days, or over the course of 2 or more weeks.

ITK Core Foundations & Image Processing

  • Introduction to the Insight Toolkit (ITK)
  • ITK in Python
  • Image Filtering

Spatial Representation, Segmentation & Registration

  • Segmentation
  • Physical Space and the Image Grid
  • Registration Framework Components

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