Body Composition Single Slice Sorceress
With effortless automation, it transforms single-slice CT and MR scans into a symphony of insights, unraveling the complexities of body composition with mastery. Empower your research with a tool designed to dramatically enhance standard practices, wielding the magic of AI to deliver results that are as swift as they are exceptional - this is a revolutionary new way to achieve results the industry expects.
Effortless Precision
DAFS Express transforms single-slice CT and MR analysis with spellbinding accuracy, delivering seamless, automated segmentation and precise measurements without the need for complex workflows and protocols.
Standard Practices, Supercharged
Enhances research efficiency and reimagines how body composition analysis is performed, setting a new standard in simplicity and excellence.
Swift Insights, Limitless Potential
Harness the power of DAFS Express to unlock critical data in moments, empowering researchers with unmatched speed and clarity to push the boundaries of discovery.
Accelerate Your Research, Fast-Track Your Publications
DAFS Express accelerates your path to publication by streamlining body composition analysis with unmatched speed and ease. With automated segmentation and precise results at your fingertips, you can focus on driving impactful research, reducing time-to-publication, and producing high-quality, publication-ready data effortlessly.
Body Composition Segmentation
Automatic Reports
Batch Processing
CSV of entire cohort
DICOM viewer with MPR
Easy Slice Export via Viewer
Segmentation Editing
Compatible with CPU-only processing
Both CT and 2 point Dixon MRI compatible
A Decade in the Making
With over a decade of innovation and refinement, DAFS Express has evolved into the ultimate tool for body composition analysis. Built on years of expertise and constant improvement, it’s the trusted solution for researchers seeking a powerful, simplified approach to single-slice CT or MRI segmentation that delivers exceptional results every time for nearly any axial slice in the scan stack.
Popuri K, Cobzas D, Esfandiari N, Baracos V, Jagersand M. Body Composition Assessment in Axial CT Images Using FEM-Based Automatic Segmentation of Skeletal Muscle. IEEE transactions on medical imaging. 2016;35(2):512–20.