A noise-robust post-processing pipeline for accelerated phase-cycled 23Na Multi-Quantum Coherences MRI

Zeitschrift für Medizinische Physik, vol. 35, pp. 98–108

Abstract

PURPOSE: Na) Magnetic Resonance Imaging (MRI) of in vivo human brain at 7 T. THEORY AND METHODS: Na MQC MRI. We validated our pipeline in silico, in vitro and in vivo in healthy volunteers, comparing it with conventional denoising and Fourier transform (FT) methods. Additionally, we assessed its robustness through ablation experiments simulating a corrupted RF phase-cycle step. RESULTS: Na MQC MRI, with a reduction in acquisition time from 48 to 10 min at 7 T. CONCLUSION: Na MQC MRI by exploiting low-rank properties to denoise signals and DMD to effectively separate SQ and TQ signals. This approach ensures high-quality MR images of both SQ and TQ components, even in accelerated and incomplete RF phase-cycling cases.

Authors 6

1. Efe Ilıcak Aachen

   Heidelberg University · Leiden University Medical Center · Medizinische Fakultät Mannheim

   Affiliation as printed

   Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands; C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

2. Fernando E. Boada

   Stanford Medicine · Stanford University

   Affiliation as printed

   Radiological Sciences Laboratory, School of Medicine, Stanford University, Stanford, California, USA

3. Maxime Guye

   Centre National de la Recherche Scientifique · Aix-Marseille Université · Centre de Résonance Magnétique Biologique et Médicale

   Affiliation as printed

   Aix-Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France

4. Frank Gerrit Zöllner

   Heidelberg University · Medizinische Fakultät Mannheim

   Affiliation as printed

   Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

5. Lothar Rudi Schad

   Heidelberg University · Medizinische Fakultät Mannheim

   Affiliation as printed

   Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

6. Stanislas Rapacchi

   Centre National de la Recherche Scientifique · Aix-Marseille Université · Centre Hospitalier Universitaire Vaudois · Centre de Résonance Magnétique Biologique et Médicale · Hôpital de la Timone · University of Lausanne

   Affiliation as printed

   Aix-Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital Universitaire Timone, CEMEREM, Marseille, France; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland