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Optimized MR pulse sequence for high-resolution brain 3D-T1ρ mapping with weighted spin-lock acquisitions.
Magn Reson Med
December 2024
Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.
Purpose: To implement and evaluate the feasibility of brain spin-lattice relaxation in the rotating frame (T1ρ) mapping using a novel optimized pulse sequence that incorporates weighted spin-lock acquisitions, enabling high-resolution three-dimensional (3D) mapping.
Methods: The optimized variable flip-angle framework, previously proposed for knee T1ρ mapping, was enhanced by integrating weighted spin-lock acquisitions. This strategic combination significantly boosts signal-to-noise ratio (SNR) while reducing data acquisition time, facilitating high-resolution 3D-T1ρ mapping of the brain.
Physics-guided multi-dimensional scan optimization and quasi-steady-state reconstruction to enhance CEST MRI sensitivity efficiency and quantification accuracy.
J Magn Reson
January 2025
Non-Human-Primate Imaging Center, Emory National Primate Research Center, Emory University, Atlanta, GA, United States; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States; Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, United States. Electronic address:
Chemical exchange saturation transfer (CEST) MRI has become increasingly utilized for detecting dilute labile protons and characterizing microenvironment properties. However, the CEST MRI effect is only a few percent, and there is a need for a systematic approach to optimize scan parameters for sensitive and accurate CEST quantification. We propose multi-dimensional adjustments of key parameters such as the repetition time (TR) and RF duty cycle to optimize CEST MRI sensitivity per unit of time and utilization of quasi-steady-state (QUASS) reconstruction to recover the full CEST effect during postprocessing.
View Article and Find Full Text PDFOrientation-independent quantification of macromolecular proton fraction in tissues with suppression of residual dipolar coupling.
NMR Biomed
January 2025
Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong.
Quantitative magnetization transfer (MT) imaging enables noninvasive characterization of the macromolecular environment of tissues. However, recent work has highlighted that the quantification of MT parameters using saturation radiofrequency (RF) pulses exhibits orientation dependence in ordered tissue structures, potentially confounding its clinical applications. Notably, in tissues with ordered structures, such as articular cartilage and myelin, the residual dipolar coupling (RDC) effect can arise owing to incomplete averaging of dipolar-dipolar interactions of water protons.
View Article and Find Full Text PDFDynamic Glucose Enhanced Imaging using Direct Water Saturation.
ArXiv
October 2024
F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, US.
Article Synopsis
- Dynamic glucose enhanced (DGE) MRI, using techniques like CEST or CESL, aims to analyze glucose uptake but faces challenges with low sensitivity and motion artifacts.
- The new method proposed, called DS-DGE MRI, leverages linewidth broadening in water saturation spectra during glucose infusion to improve measurements.
- Initial tests on brain tumor patients show that DS-DGE MRI produces detailed area-under-the-curve maps that effectively highlight tumor regions, indicating its potential over existing imaging techniques.
Stimulus-induced rotary saturation imaging of visually evoked response: A pilot study.
NMR Biomed
January 2025
Support Centre for Advanced Neuroimaging, Institute for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.
Spin-lock (SL) pulses have been proposed to directly detect neuronal activity otherwise inaccessible through standard functional magnetic resonance imaging. However, the practical limits of this technique remain unexplored. Key challenges in SL-based detection include ultra-weak signal variations, sensitivity to magnetic field inhomogeneities, and potential contamination from blood oxygen level-dependent effects, all of which hinder the reliable isolation of neuronal signals.
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