Mini Tutorials - X-ray CT Explained with ImageJ 3. Basic Quantitative Analysis

Mini Tutorial series Episode 3 reviews how we can analyze CT scans quantitatively using the image segmentation results and how we need to treat 2D and 3D images differently. The tutorial uses open-source FIJI/ImageJ, and the images used in the tutorial are available for download below.

Resources

• Download sample images: X-ray CT explained with ImageJ sample data 3

You might also like:

• "Image Processing" virtual workshop - Processing Images Using ImageJ
• "Image Processing" virtual workshop - Refining Segmentation Using ImageJ
• "X-ray Computed Tomography" virtual workshop - CT Data Analysis Techniques Using ImageJ
• "X‑ray Computed Tomography for Materials & Life Sciences" webinar - Data Analysis
• "Let's Talk X‑ray Imaging" blog article - How to Get Started with X‑ray CT Image Analysis in 3 Steps
• "Let's Talk X‑ray Imaging" blog article - Best CT Analysis Software