Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Purpose: Hyperpolarized imaging experiments have conflicting requirements of high spatial, temporal, and spectral resolution. Spectral-spatial RF excitation has been shown to form an attractive magnetization-efficient method for hyperpolarized imaging, but the optimum readout strategy is not yet known.
Methods: In this work, we propose a novel 3D hybrid-shot spiral sequence which features two constant density regions that permit the retrospective reconstruction of either high spatial or high temporal resolution images post hoc, (adaptive spatiotemporal imaging) allowing greater flexibility in acquisition and reconstruction.
Results: We have implemented this sequence, both via simulation and on a preclinical scanner, to demonstrate its feasibility, in both a phantom and with hyperpolarized pyruvate in vivo.
Conclusions: This sequence forms an attractive method for acquiring hyperpolarized imaging datasets, providing adaptive spatiotemporal imaging to ameliorate the conflict of spatial and temporal resolution, with significant potential for clinical translation.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611357 | PMC |
| http://dx.doi.org/10.1002/mrm.28462 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Zero- to ultralow-field nuclear magnetic resonance.
Prog Nucl Magn Reson Spectrosc
February 2025
Brown Boveri Platz 4, 5400 Baden, Switzerland.
Zero and ultralow-field nuclear magnetic resonance (ZULF NMR) is an NMR modality where experiments are performed in fields at which spin-spin interactions within molecules and materials are stronger than Zeeman interactions. This typically occurs at external fields of microtesla strength or below, considerably smaller than Earth's field. In ZULF NMR, the measurement of spin-spin couplings and spin relaxation rates provides a nondestructive means for identifying chemicals and chemical fragments, and for conducting sample or process analyses.
View Article and Find Full Text PDFHyperpolarized-MRI in Hypertrophic Cardiomyopathy: A Narrative Review.
Clin Med Insights Cardiol
August 2025
Mount Sinai Fuster Heart Hospital, Icahn School of Medicine, New York, NY, USA.
Hypertrophic cardiomyopathy is a genetically inherited cardiac disorder that presents with diverse clinical phenotypes. It is associated with significant adverse outcomes, including arrhythmias and sudden cardiac death. Current gold-standard diagnostic methods include echocardiography and cardiac magnetic resonance imaging.
View Article and Find Full Text PDFProbing Intracellular Yeast Metabolism With Deuterium Magnetic Resonance Spectroscopy.
NMR Biomed
October 2025
Section Biomedical Imaging, Molecular Imaging North Competence Center, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University, Kiel, Germany.
Metabolomics provides snapshots of states of metabolites under specific conditions, with nuclear magnetic resonance (NMR) being one of the few noninvasive techniques. However, when applied to intact cells (e.g.
View Article and Find Full Text PDFTechnologies and Strategies for Metabolic and Molecular Imaging With Hyperpolarized MRI.
J Magn Reson Imaging
September 2025
MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Conventional Magnetic Resonance Imaging (MRI) offers limited sensitivity for direct metabolic and molecular imaging using non-proton nuclei due to low thermal nuclear spin polarization. Hyperpolarization (HP) technologies increase nuclear spin polarization by several orders of magnitude, overcoming this limitation to enable in vivo studies of biochemistry and physiology. A growing body of literature has shown the value in HP technologies offering metabolic and functional information useful for a variety of clinical applications.
View Article and Find Full Text PDFRobust Segmentation of Lung Proton and Hyperpolarized Gas MRI with Vision Transformers and CNNs: A Comparative Analysis of Performance Under Artificial Noise.
Bioengineering (Basel)
July 2025
School of Biomedical Engineering, Faculty of Engineering, The University of Western Ontario, London, ON N6A 3K7, Canada.
Accurate segmentation in medical imaging is essential for disease diagnosis and monitoring, particularly in lung imaging using proton and hyperpolarized gas MRI. However, image degradation due to noise and artifacts-especially in hyperpolarized gas MRI, where scans are acquired during breath-holds-poses challenges for conventional segmentation algorithms. This study evaluates the robustness of deep learning segmentation models under varying Gaussian noise levels, comparing traditional convolutional neural networks (CNNs) with modern Vision Transformer (ViT)-based models.
View Article and Find Full Text PDF