FATCALC-ImageJ is an ImageJ macro (fully
automated) for unsupervised fat segmentation in magnetic resonance imaging. It was developed for GE T1 2-points Dixon sequences (fat only image).
FATCALC independently evaluates the volumes of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT).

Features

  • unsupervised FAT segmentation
  • VAT and SAT separation
  • freeware and shareble

Project Samples

Project Activity

See All Activity >

Follow FATCALC imageJ

FATCALC imageJ Web Site

You Might Also Like
Gain insights and build data-powered applications Icon
Gain insights and build data-powered applications

Looker is an enterprise platform for BI, data applications, and embedded analytics that helps you explore and share insights in real time.

Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of FATCALC imageJ!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

JavaScript, Java

Registered

2017-04-05