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September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

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

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FBFlorian BirkHTHamzeh TeshBBBenjamin Bender

Key Points

  • Mean relaxometry differences between normal-appearing white matter in healthy controls and RRMS can be observed.
  • The study noted reduced orientation dependency trends in T1, T2, and AI metrics, especially in RRMS lesions.
  • Three healthy controls and nine RRMS patients were scanned at 3T to analyze tissue-specific metrics.
  • The findings highlight the potential of mp-qMRI with pc-bSSFP imaging in assessing tissue changes in RRMS patients.

Abstract

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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Cite This Study

Birk et al. (2025) studied this question.

synapsesocial.com/papers/68d45b0b31b076d99fa5cf02https://doi.org/10.58530/2025/3743
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