Spiral Blurring Correction with Water-Fat Separation for Magnetic Resonance Fingerprinting in the Breast
Teresa Nolte, Nicolas Gross-Weege, Mariya Doneva, Peter Koken, Aaldert, Elevelt, Daniel Truhn, Christiane Kuhl, Volkmar Schulz

TL;DR
This paper presents a method to correct spiral blurring artifacts in Magnetic Resonance Fingerprinting (MRF) for breast imaging, improving the accuracy of tissue relaxation time measurements by combining water-fat separation with conjugate phase reconstruction.
Contribution
The study introduces a novel correction technique for spiral MRF that integrates 3-point Dixon water-fat separation with conjugate phase reconstruction, enhancing quantitative mapping accuracy.
Findings
Blurring correction reduced NRMSE from 16% to 8% for T1 in phantom experiments.
Correction decreased NRMSE from 18% to 11% for T2 in phantom experiments.
In-vivo, the method removed fat bias from breast tissue measurements.
Abstract
PURPOSE: Magnetic Resonance Fingerprinting (MRF) with spiral readout enables rapid quantification of tissue relaxation times. However, it is prone to blurring due to off-resonance effects. Hence, fat blurring into adjacent regions might prevent identification of small tumors by their quantitative T1 and T2 values. This study aims to correct for the blurring artifacts, thereby enabling fast quantitative mapping in the female breast. METHODS: The impact of fat blurring on spiral MRF results was first assessed by simulations. Then, MRF was combined with 3-point Dixon water-fat separation and spiral blurring correction based on conjugate phase reconstruction. The approach was assessed in phantom experiments and compared to Cartesian reference measurements, namely inversion recovery (IR), multi-echo spin echo (MESE) and Cartesian MRF, by normalized root mean square error (NRMSE) and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
