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Reducing thermal noise in high-resolution quantitative magnetic resonance imaging rotating frame relaxation mapping of the human brain at 3 T.
Ponticorvo, Sara; Canna, Antonietta; Moeller, Steen; Akcakaya, Mehmet; Metzger, Gregory J; Filip, Pavel; Eberly, Lynn E; Michaeli, Shalom; Mangia, Silvia.
Afiliación
  • Ponticorvo S; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
  • Canna A; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
  • Moeller S; Montreal Neurological Institute and Hospital, the Neuro, McGill University, Montréal, Quebec, Canada.
  • Akcakaya M; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
  • Metzger GJ; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
  • Filip P; Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
  • Eberly LE; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
  • Michaeli S; Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.
  • Mangia S; Department of Neurology, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic.
NMR Biomed ; : e5228, 2024 Aug 21.
Article en En | MEDLINE | ID: mdl-39169274
ABSTRACT
Quantitative maps of rotating frame relaxation (RFR) time constants are sensitive and useful magnetic resonance imaging tools with which to evaluate tissue integrity in vivo. However, to date, only moderate image resolutions of 1.6 x 1.6 x 3.6 mm3 have been used for whole-brain coverage RFR mapping in humans at 3 T. For more precise morphometrical examinations, higher spatial resolutions are desirable. Towards achieving the long-term goal of increasing the spatial resolution of RFR mapping without increasing scan times, we explore the use of the recently introduced Transform domain NOise Reduction with DIstribution Corrected principal component analysis (T-NORDIC) algorithm for thermal noise reduction. RFR acquisitions at 3 T were obtained from eight healthy participants (seven males and one female) aged 52 ± 20 years, including adiabatic T1ρ, T2ρ, and nonadiabatic Relaxation Along a Fictitious Field (RAFF) in the rotating frame of rank n = 4 (RAFF4) with both 1.6 x 1.6 x 3.6 mm3 and 1.25 x 1.25 x 2 mm3 image resolutions. We compared RFR values and their confidence intervals (CIs) obtained from fitting the denoised versus nondenoised images, at both voxel and regional levels separately for each resolution and RFR metric. The comparison of metrics obtained from denoised versus nondenoised images was performed with a two-sample paired t-test and statistical significance was set at p less than 0.05 after Bonferroni correction for multiple comparisons. The use of T-NORDIC on the RFR images prior to the fitting procedure decreases the uncertainty of parameter estimation (lower CIs) at both spatial resolutions. The effect was particularly prominent at high-spatial resolution for RAFF4. Moreover, T-NORDIC did not degrade map quality, and it had minimal impact on the RFR values. Denoising RFR images with T-NORDIC improves parameter estimation while preserving the image quality and accuracy of all RFR maps, ultimately enabling high-resolution RFR mapping in scan times that are suitable for clinical settings.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NMR Biomed Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NMR Biomed Asunto de la revista: DIAGNOSTICO POR IMAGEM / MEDICINA NUCLEAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido