Oberseminar Wissenschaftliches Rechnen (Tim Höpfner, JMU Würzburg)

Abstract:

Magnetic Resonance Fingerprinting (MRF) is a quantitative MRI method that, instead of using homogeneous sequences, employs a rapidly varying series of pulse parameters. This produces for each tissue a characteristic “fingerprint” of signal evolution, which is matched against a simulated database (“dictionary”) of possible signal trajectories to determine tissue parameters simultaneously and efficiently. The partial‑spoiling concept introduced by Ganter abandons full gradient spoiling between pulse cycles and deliberately preserves a portion of the phase coherence. When combined with MR fingerprinting, this approach yields more complex signal evolutions with enhanced sensitivity to T₁ and T₂ parameters.
We present various optimization strategies to improve the acquisition of MRF sequences with partially spoiled steady states, aiming to achieve greater accuracy in parameter estimation.

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