Getting Started with 3D Slicer for Medical Imaging

3D Slicer is a powerful application, but its size can make getting started challenging. Understanding the basic application structure can quickly reduce some of that complexity and make the software easier to navigate.

In this webinar, Sam Horvath and Ebrahim Ebrahim will introduce the basics of 3D Slicer before focusing on medical image segmentation. The session will begin with an overview of 3D Slicer and sample data loading. The presenters will then take a deeper look at the built-in Segment Editor tools through demonstrations.

Segmentation enables clinicians to precisely identify anatomical structures and anomalies in medical images. This can be necessary for targeted treatments, advanced surgical planning, and algorithms that need information about anatomy within a medical image.

The session will also cover popular AI segmentation tools and will include a short demonstration of the Total Segmentator module.

A live Q&A session will follow the presentation.

Key Takeaways

Attendees will:

• Gain a basic understanding of 3D Slicer and how to load sample data.
• Become familiar with the built-in Segment Editor tools.
• Learn about popular AI segmentation tools.

Who Should Attend

This webinar is intended for beginner and intermediate users who want to better understand 3D Slicer and its segmentation capabilities.

It is designed for:

• Researchers interested in using 3D Slicer for medical imaging and segmentation.
• Developers who want to become familiar with the application structure and available segmentation tools.
• Engineers interested in learning how segmentation capabilities are available within 3D Slicer.
• Clinical and medical users who work with anatomical structures and anomalies in medical images.