Towards AI Can Help your Team Adopt AI: Corporate Training, Consulting, and Talent Solutions.


How to Process 3D Medical Imaging Data using Python and SimpleITK
Latest   Machine Learning

How to Process 3D Medical Imaging Data using Python and SimpleITK

Last Updated on November 15, 2023 by Editorial Team

Author(s): Nour Islam Mokhtari

Originally published on Towards AI.

3 medical imaging formats that we deal with daily as AI consultants in the medical imaging field and how we process them using Python
image generated by DALL-E

I work daily on medical imaging problems. This leads me to deal with the different formats that medical images come with.

In this article, I will cover 3 file formats that we deal with constantly. I will share what these formats are and how to process them using Python.

Industry Standard: Used primarily in radiology and often by imaging devices directly.Rich Metadata: Contains patient info, imaging parameters, and acquisition details.Structure: Packs multiple 2D slices to form a 3D image.Usage: Ideal for clinical applications and PACS integration.Brain Imaging: Primarily designed for the neuroimaging community. But it’s becoming more and more… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI

Feedback ↓