Science and Research

Quantifying spatial and dynamic lung abnormalities with 3D PREFUL FLORET UTE imaging: A feasibility study

PURPOSE: Pulmonary MRI faces challenges due to low proton density, rapid transverse magnetization decay, and cardiac and respiratory motion. The fermat-looped orthogonally encoded trajectories (FLORET) sequence addresses these issues with high sampling efficiency, strong signal, and motion robustness, but has not yet been applied to phase-resolved functional lung (PREFUL) MRI-a contrast-free method for assessing pulmonary ventilation during free breathing. This study aims to develop a reconstruction pipeline for FLORET UTE, enhancing spatial resolution for three-dimensional (3D) PREFUL ventilation analysis. METHODS: The FLORET sequence was used to continuously acquire data over 7 ± 2 min in 36 participants, including healthy subjects (N = 7) and patients with various pulmonary conditions (N = 29). Data were reconstructed into respiratory images using motion-compensated low-rank reconstruction, and a 3D PREFUL algorithm was adapted to quantify static and dynamic ventilation surrogates. Image sharpness and signal-to-noise ratio were evaluated across different motion states. PREFUL ventilation metrics were compared with static (129)Xe ventilation MRI. RESULTS: Optimal image sharpness and accurate ventilation dynamics were achieved using 24 respiratory bins, leading to their use in the study. A strong correlation was found between 3D PREFUL FLORET UTE ventilation defect percentages (VDPs) and (129)Xe VDPs (r 

  • Klime
  • Plummer, J. W.
  • Willmering, M. M.
  • Matheson, A. M.
  • Bdaiwi, A. S.
  • Gutberlet, M.
  • Voskrebenzev, A.
  • Wernz, M. M.
  • Wacker, F.
  • Woods, J.
  • Cleveland, Z. I.
  • Walkup, L. L.
  • Vogel-Claussen, J.

Keywords

  • Floret
  • Preful
  • Ute
  • hyperpolarized 129Xe MRI
  • lung MRI
  • motion compensation
  • ventilation imaging
Publication details
DOI: 10.1002/mrm.30416
Journal: Magn Reson Med
Work Type: Original
Location: BREATH
Disease Area: PLI
Partner / Member: MHH
Access-Number: 39825520

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