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Stelter, J.* ; Weiss, K.* ; Spieker, V. ; Schnabel, J.A. ; Braren, R.F.* ; Karampinos, D.C.*

B0 navigator enables respiratory motion navigation in radial stack-of-stars liver Look-Locker T1 mapping.

Magn. Reson. Med., DOI: 10.1002/mrm.30567 (2025)
Verlagsversion Forschungsdaten DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
PURPOSE: To develop a B 0 $$ {B}_0 $$ self-navigation approach to estimate respiratory motion for motion-corrected liver T 1 $$ {T}_1 $$ mapping using a Look-Locker acquisition with radial stack-of-stars trajectory. METHODS: The proposed method derives 1D field-map profiles from the oversampled k-space center to estimate a normalized breathing curve and the B 0 $$ {B}_0 $$ variation amplitude for each slice and coil. B 0 $$ {B}_0 $$ drift and contrast variations, inherent to the Look-Locker acquisition, were modeled and corrected by fitting and demodulating drift and offset terms. The breathing curve was employed to bin data into motion states for motion-resolved reconstruction, followed by water-specific T 1 $$ {T}_1 $$ mapping. Simulations with an anatomical body model and in vivo experiments with a Look-Locker multi-echo gradient echo sequence were performed to validate the technique. The estimated normalized breathing curve was compared with magnitude- and phase-based self-navigation approaches using principal component analysis. RESULTS: The proposed B 0 $$ {B}_0 $$ self-navigation reliably estimated the normalized breathing curve and the B 0 $$ {B}_0 $$ variation amplitude in simulations and in vivo. B 0 $$ {B}_0 $$ variation amplitudes increased with greater tissue displacement, with median values across slices and coils ranging from 4 to 15 Hz at 3 T in volunteers. Motion-resolved reconstruction using the estimated breathing curve reduced motion artifacts and improved image and T 1 $$ {T}_1 $$ mapping quality compared to motion-averaged reconstruction. CONCLUSION: B 0 $$ {B}_0 $$ self-navigation allows estimation of respiratory motion in acquisitions with varying contrast and quantifies the B 0 $$ {B}_0 $$ variation amplitude, providing a possible surrogate signal for tissue displacement and enabling self-gated liver T 1 $$ {T}_1 $$ mapping using a Look-Locker approach.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Free‐breathing ; Gradient Echo Imaging ; Self‐navigation ; Water‐fat Separation; Adipose-tissue; Fat; Mri
Sprache englisch
Veröffentlichungsjahr 2025
HGF-Berichtsjahr 2025
ISSN (print) / ISBN 0740-3194
e-ISSN 1522-2594
Verlag Wiley
Verlagsort 111 River St, Hoboken 07030-5774, Nj Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-507100-001
Förderungen Philips Healthcare
TUM International Graduate School of Science and Engineering
Scopus ID 105005784628
PubMed ID 40395015
Erfassungsdatum 2025-05-22