Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.

Charidimos Tsagkas A Horvath-Huck T Haas M Amann A Todea Anna Altermatt Jannis Müller Alessandro Cagol M Leimbacher Muhamed Barakovic Matthias Weigel S Pezold Till Sprenger Ludwig Kappos Oliver Bieri Cristina Granziera Philippe C Cattin Katrin Parmar

Published in: AJNR. American journal of neuroradiology (2023)

We demonstrate a novel, reliable quantification method for spinal cord tissue segmentation in healthy controls and patients with MS and other neurologic disorders affecting the spinal cord. Patients with MS have reduced areas in specific spinal cord tissue compartments, which may be used as MS biomarkers.

Keyphrases

spinal cord
multiple sclerosis
mass spectrometry
neuropathic pain
spinal cord injury
deep learning
ms ms
convolutional neural network
white matter
machine learning
neural network