Abstract #3743

Phase-Cycled Balanced Steady-State Free Precession Multi-Parametric Mapping in Relapsing-Remitting Multiple Sclerosis

Florian Birk^1,2, Hamzeh Tesh², Benjamin Bender³, Silke Buschbach³, Uta Groeper³, Praveen Iyyappan Valsala^1,2, Anagha Deshmane³, Tobias Lindig³, Klaus Scheffler^1,2, and Rahel Heule^1,2,4

¹Department of Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany, ²Department of High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, ³Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany, ⁴Center for MR Research, University Children's Hospital, Zurich, Switzerland

Synopsis

Keywords: Multiple Sclerosis, Multiple Sclerosis, phase-cycled balanced steady-state free precession, relapsing-remitting multiple sclerosis

Motivation: Multiple sclerosis (MS) requires frequent monitoring to detect lesions or alterations in normal-appearing tissue microstructure.

Goal(s): Compare tissue-specific metrics like T1, T2, and frequency response asymmetry indices (AI) between healthy controls (HC) and patients with relapsing-remitting MS (RRMS).

Approach: Three HC and nine RRMS were scanned at 3T. Quantitative metrics were analyzed by assessing mean values and dependencies on tissue anisotropy and white matter (WM) fiber orientation.

Results: Mean relaxometry differences between normal-appearing WM in HC and RRMS as well as RRMS lesion could be observed. A trend towards reduced orientation dependency was apparent for T1, T2, and AI, especially for RRMS lesions.

Impact: This study marks the first application of MP-qMRI with pc-bSSFP imaging for assessing tissue changes in RRMS patients.

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