Skip to content

Selecting a filter updates the list automatically.

AI-based Analysis Original Article
April 10, 2025

Clinical validation of fully automated cartilage transverse relaxation time (T2) and thickness analysis using quantitative DESS magnetic resonance imaging

Wirth W, Herger S, Maschek S, Wisser A, Bieri O, Eckstein F, Mündermann A

MAGMA

Objective: To clinically validate a fully automated cartilage segmentation technique from quantitative double-echo steady-state (qDESS) MRI supporting simultaneous estimation of cartilage T2 and morphology. Here, we test whether laminar...

AI-based Analysis Original Article
June 9, 2021

Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the Osteoarthritis Initiative healthy reference cohort.

Wolfgang Wirth, Felix Eckstein, Jana Kemnitz, Christian Frederik Baumgartner,...

MAGMA

Objective: To evaluate the agreement, accuracy, and longitudinal reproducibility of quantitative cartilage morphometry from 2D U-Net-based automated segmentations for 3T coronal fast...