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magnetic resonance fingerprinting

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https://www.readbyqxmd.com/read/28934529/traveling-slow-oscillations-during-sleep-a-marker-of-brain-connectivity-in-childhood
#1
Salome Kurth, Brady A Riedner, Douglas C Dean, Jonathan O'Muircheartaigh, Reto Huber, Oskar G Jenni, Sean C L Deoni, Monique K LeBourgeois
Slow oscillations, a defining characteristic of the nonrapid eye movement sleep electroencephalogram (EEG), proliferate across the scalp in highly reproducible patterns. In adults, the propagation of slow oscillations is a recognized fingerprint of brain connectivity and excitability. In this study, we (1) describe for the first time maturational features of sleep slow oscillation propagation in children (n = 23; 2-13 years) using high-density (hd) EEG and (2) examine associations between sleep slow oscillatory propagation characteristics (ie, distance, traveling speed, cortical involvement) and white matter myelin microstructure as measured with multicomponent Driven Equilibrium Single Pulse Observation of T1 and T2-magnetic resonance imaging (mcDESPOT-MRI)...
September 1, 2017: Sleep
https://www.readbyqxmd.com/read/28915341/-31-p-magnetic-resonance-fingerprinting-for-rapid-quantification-of-creatine-kinase-reaction-rate-in-vivo
#2
Charlie Y Wang, Yuchi Liu, Shuying Huang, Mark A Griswold, Nicole Seiberlich, Xin Yu
The purpose of this work was to develop a (31) P spectroscopic magnetic resonance fingerprinting (MRF) method for fast quantification of the chemical exchange rate between phosphocreatine (PCr) and adenosine triphosphate (ATP) via creatine kinase (CK). A (31) P MRF sequence (CK-MRF) was developed to quantify the forward rate constant of ATP synthesis via CK ( kfCK), the T1 relaxation time of PCr ( T1PCr), and the PCr-to-ATP concentration ratio ( MRPCr). The CK-MRF sequence used a balanced steady-state free precession (bSSFP)-type excitation with ramped flip angles and a unique saturation scheme sensitive to the exchange between PCr and γATP...
September 15, 2017: NMR in Biomedicine
https://www.readbyqxmd.com/read/28883201/deep-learning-for-magnetic-resonance-fingerprinting-a-new-approach-for-predicting-quantitative-parameter-values-from-time-series
#3
Elisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, Jens Wetzl, Felix Lugauer, Josef Pfeuffer, Andreas Maier
The purpose of this work is to evaluate methods from deep learning for application to Magnetic Resonance Fingerprinting (MRF). MRF is a recently proposed measurement technique for generating quantitative parameter maps. In MRF a non-steady state signal is generated by a pseudo-random excitation pattern. A comparison of the measured signal in each voxel with the physical model yields quantitative parameter maps. Currently, the comparison is done by matching a dictionary of simulated signals to the acquired signals...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28871182/mott-transition-and-magnetism-in-rare-earth-nickelates-and-its-fingerprint-on-the-x-ray-scattering
#4
Kristjan Haule, Gheorghe L Pascut
The metal-insulator transition (MIT) remains among the most thoroughly studied phenomena in solid state physics, but the complexity of the phenomena, which usually involves cooperation of many degrees of freedom including orbitals, fluctuating local moments, magnetism, and the crystal structure, have resisted predictive ab-initio treatment. Here we develop ab-initio theoretical method for correlated electron materials, based on Dynamical Mean Field Theory, which can predict the change of the crystal structure across the MIT at finite temperature...
September 4, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28837579/identification-of-a-discriminative-metabolomic-fingerprint-of-potential-clinical-relevance-in-saliva-of-patients-with-periodontitis-using-1h-nuclear-magnetic-resonance-nmr-spectroscopy
#5
Matthias Rzeznik, Mohamed Nawfal Triba, Pierre Levy, Sébastien Jungo, Eliot Botosoa, Boris Duchemann, Laurence Le Moyec, Jean-François Bernaudin, Philippe Savarin, Dominique Guez
Periodontitis is characterized by the loss of the supporting tissues of the teeth in an inflammatory-infectious context. The diagnosis relies on clinical and X-ray examination. Unfortunately, clinical signs of tissue destruction occur late in the disease progression. Therefore, it is mandatory to identify reliable biomarkers to facilitate a better and earlier management of this disease. To this end, saliva represents a promising fluid for identification of biomarkers as metabolomic fingerprints. The present study used high-resolution 1H-nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate statistical analysis to identify the metabolic signature of active periodontitis...
2017: PloS One
https://www.readbyqxmd.com/read/28833436/fast-3d-magnetic-resonance-fingerprinting-for-a-whole-brain-coverage
#6
Dan Ma, Yun Jiang, Yong Chen, Debra McGivney, Bhairav Mehta, Vikas Gulani, Mark Griswold
PURPOSE: The purpose of this study was to accelerate the acquisition and reconstruction time of 3D magnetic resonance fingerprinting scans. METHODS: A 3D magnetic resonance fingerprinting scan was accelerated by using a single-shot spiral trajectory with an undersampling factor of 48 in the x-y plane, and an interleaved sampling pattern with an undersampling factor of 3 through plane. Further acceleration came from reducing the waiting time between neighboring partitions...
August 22, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28814732/dual-contrast-magnetic-resonance-fingerprinting-dc-mrf-a-platform-for-simultaneous-quantification-of-multiple-mri-contrast-agents
#7
Christian E Anderson, Shannon B Donnola, Yun Jiang, Joshua Batesole, Rebecca Darrah, Mitchell L Drumm, Susann M Brady-Kalnay, Nicole F Steinmetz, Xin Yu, Mark A Griswold, Chris A Flask
Injectable Magnetic Resonance Imaging (MRI) contrast agents have been widely used to provide critical assessments of disease for both clinical and basic science imaging research studies. The scope of available MRI contrast agents has expanded over the years with the emergence of molecular imaging contrast agents specifically targeted to biological markers. Unfortunately, synergistic application of more than a single molecular contrast agent has been limited by MRI's ability to only dynamically measure a single agent at a time...
August 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28804918/low-rank-approximation-methods-for-mr-fingerprinting-with-large-scale-dictionaries
#8
Mingrui Yang, Dan Ma, Yun Jiang, Jesse Hamilton, Nicole Seiberlich, Mark A Griswold, Debra McGivney
PURPOSE: This work proposes new low rank approximation approaches with significant memory savings for large scale MR fingerprinting (MRF) problems. THEORY AND METHODS: We introduce a compressed MRF with randomized singular value decomposition method to significantly reduce the memory requirement for calculating a low rank approximation of large sized MRF dictionaries. We further relax this requirement by exploiting the structures of MRF dictionaries in the randomized singular value decomposition space and fitting them to low-degree polynomials to generate high resolution MRF parameter maps...
August 13, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28796368/regularly-incremented-phase-encoding-mr-fingerprinting-ripe-mrf-for-enhanced-motion-artifact-suppression-in-preclinical-cartesian-mr-fingerprinting
#9
Christian E Anderson, Charlie Y Wang, Yuning Gu, Rebecca Darrah, Mark A Griswold, Xin Yu, Chris A Flask
PURPOSE: The regularly incremented phase encoding-magnetic resonance fingerprinting (RIPE-MRF) method is introduced to limit the sensitivity of preclinical MRF assessments to pulsatile and respiratory motion artifacts. METHODS: As compared to previously reported standard Cartesian-MRF methods (SC-MRF), the proposed RIPE-MRF method uses a modified Cartesian trajectory that varies the acquired phase-encoding line within each dynamic MRF dataset. Phantoms and mice were scanned without gating or triggering on a 7T preclinical MRI scanner using the RIPE-MRF and SC-MRF methods...
August 10, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28776774/identification-of-some-bioactive-metabolites-in-a-fractionated-methanol-extract-from-ipomoea-aquatica-aerial-parts-through-tlc-hplc-uplc-esi-qtof-ms-and-lc-spe-nmr-fingerprints-analyses
#10
Mahmoud Hefny Gad, Emmy Tuenter, Nagwa El-Sawi, Sabry Younes, El-Mewafy El-Ghadban, Kristiaan Demeyer, Luc Pieters, Yvan Vander Heyden, Debby Mangelings
INTRODUCTION: The plant species Ipomoea aquatica contains various bioactive constituents, e.g. phenols and flavonoids, which have several medical uses. All previous studies were executed in Asia; however, no reports are available from Africa, and the secondary metabolites of this plant species from Africa are still unknown. OBJECTIVE: The present study aims finding suitable conditions to identify the bioactive compounds from different fractions. METHODOLOGY: Chromatographic fingerprint profiles of different fractions were developed using high-performance liquid chromatography (HPLC) and then these conditions were transferred to thin-layer chromatography (TLC)...
August 4, 2017: Phytochemical Analysis: PCA
https://www.readbyqxmd.com/read/28769889/fast-2d-nmr-spectroscopy-for-in-vivo-monitoring-of-bacterial-metabolism-in-complex-mixtures
#11
Rupashree Dass, Katarzyna Grudzia Ż, Takao Ishikawa, Michał Nowakowski, Renata Dȩbowska, Krzysztof Kazimierczuk
The biological toolbox is full of techniques developed originally for analytical chemistry. Among them, spectroscopic experiments are very important source of atomic-level structural information. Nuclear magnetic resonance (NMR) spectroscopy, although very advanced in chemical and biophysical applications, has been used in microbiology only in a limited manner. So far, mostly one-dimensional (1)H experiments have been reported in studies of bacterial metabolism monitored in situ. However, low spectral resolution and limited information on molecular topology limits the usability of these methods...
2017: Frontiers in Microbiology
https://www.readbyqxmd.com/read/28743861/multimodal-fingerprints-of-resting-state-networks-as-assessed-by-simultaneous-trimodal-mr-pet-eeg-imaging
#12
N J Shah, J Arrubla, R Rajkumar, E Farrher, J Mauler, E Rota Kops, L Tellmann, J Scheins, F Boers, J Dammers, P Sripad, C Lerche, K J Langen, H Herzog, I Neuner
Simultaneous MR-PET-EEG (magnetic resonance imaging - positron emission tomography - electroencephalography), a new tool for the investigation of neuronal networks in the human brain, is presented here for the first time. It enables the assessment of molecular metabolic information with high spatial and temporal resolution in a given brain simultaneously. Here, we characterize the brain's default mode network (DMN) in healthy male subjects using multimodal fingerprinting by quantifying energy metabolism via 2- [(18)F]fluoro-2-desoxy-D-glucose PET (FDG-PET), the inhibition - excitation balance of neuronal activation via magnetic resonance spectroscopy (MRS), its functional connectivity via fMRI and its electrophysiological signature via EEG...
July 25, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28716682/air-mrf-accelerated-iterative-reconstruction-for-magnetic-resonance-fingerprinting
#13
Christopher C Cline, Xiao Chen, Boris Mailhe, Qiu Wang, Josef Pfeuffer, Mathias Nittka, Mark A Griswold, Peter Speier, Mariappan S Nadar
Existing approaches for reconstruction of multiparametric maps with magnetic resonance fingerprinting (MRF) are currently limited by their estimation accuracy and reconstruction time. We aimed to address these issues with a novel combination of iterative reconstruction, fingerprint compression, additional regularization, and accelerated dictionary search methods. The pipeline described here, accelerated iterative reconstruction for magnetic resonance fingerprinting (AIR-MRF), was evaluated with simulations as well as phantom and in vivo scans...
July 14, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28694017/multi-frequency-interpolation-in-spiral-magnetic-resonance-fingerprinting-for-correction-of-off-resonance-blurring
#14
Jason Ostenson, Ryan K Robison, Nicholas R Zwart, Brian E Welch
Magnetic resonance fingerprinting (MRF) pulse sequences often employ spiral trajectories for data readout. Spiral k-space acquisitions are vulnerable to blurring in the spatial domain in the presence of static field off-resonance. This work describes a blurring correction algorithm for use in spiral MRF and demonstrates its effectiveness in phantom and in vivo experiments. Results show that image quality of T1 and T2 parametric maps is improved by application of this correction. This MRF correction has negligible effect on the concordance correlation coefficient and improves coefficient of variation in regions of off-resonance relative to uncorrected measurements...
July 8, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28684331/fiberprint-a-subject-fingerprint-based-on-sparse-code-pooling-for-white-matter-fiber-analysis
#15
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot, Matthew Toews
White matter characterization studies use the information provided by diffusion magnetic resonance imaging (dMRI) to draw cross-population inferences. However, the structure, function, and white matter geometry vary across individuals. Here, we propose a subject fingerprint, called Fiberprint, to quantify the individual uniqueness in white matter geometry using fiber trajectories. We learn a sparse coding representation for fiber trajectories by mapping them to a common space defined by a dictionary. A subject fingerprint is then generated by applying a pooling function for each bundle, thus providing a vector of bundle-wise features describing a particular subject's white matter geometry...
July 3, 2017: NeuroImage
https://www.readbyqxmd.com/read/28684268/towards-predicting-the-encoding-capability-of-mr-fingerprinting-sequences
#16
K Sommer, T Amthor, M Doneva, P Koken, J Meineke, P Börnert
Sequence optimization and appropriate sequence selection is still an unmet need in magnetic resonance fingerprinting (MRF). The main challenge in MRF sequence design is the lack of an appropriate measure of the sequence's encoding capability. To find such a measure, three different candidates for judging the encoding capability have been investigated: local and global dot-product-based measures judging dictionary entry similarity as well as a Monte Carlo method that evaluates the noise propagation properties of an MRF sequence...
July 3, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28666939/magnetic-resonance-fingerprinting-with-short-relaxation-intervals
#17
Thomas Amthor, Mariya Doneva, Peter Koken, Karsten Sommer, Jakob Meineke, Peter Börnert
PURPOSE: The aim of this study was to investigate a technique for improving the performance of Magnetic Resonance Fingerprinting (MRF) in repetitive sampling schemes, in particular for 3D MRF acquisition, by shortening relaxation intervals between MRF pulse train repetitions. MATERIAL AND METHODS: A calculation method for MRF dictionaries adapted to short relaxation intervals and non-relaxed initial spin states is presented, based on the concept of stationary fingerprints...
June 27, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/28666880/connectopic-mapping-with-resting-state-fmri
#18
REVIEW
Koen V Haak, Andre F Marquand, Christian F Beckmann
Brain regions are often topographically connected: nearby locations within one brain area connect with nearby locations in another area. Mapping these connection topographies, or 'connectopies' in short, is crucial for understanding how information is processed in the brain. Here, we propose principled, fully data-driven methods for mapping connectopies using functional magnetic resonance imaging (fMRI) data acquired at rest by combining spectral embedding of voxel-wise connectivity 'fingerprints' with a novel approach to spatial statistical inference...
June 27, 2017: NeuroImage
https://www.readbyqxmd.com/read/28662085/metabolomic-profiling-to-characterize-acute-intestinal-ischemia-reperfusion-injury
#19
Rachel G Khadaroo, Thomas A Churchill, Victor Tso, Karen L Madsen, Chris Lukowski, Saad Y Salim
Sepsis and septic shock are the leading causes of death in critically ill patients. Acute intestinal ischemia/reperfusion (AII/R) is an adaptive response to shock. The high mortality rate from AII/R is due to the severity of the disease and, more importantly, the failure of timely diagnosis. The objective of this investigation is to use nuclear magnetic resonance (NMR) analysis to characterize urine metabolomic profile of AII/R injury in a mouse model. Animals were exposed to sham, early (30 min) or late (60 min) acute intestinal ischemia by complete occlusion of the superior mesenteric artery, followed by 2 hrs of reperfusion...
2017: PloS One
https://www.readbyqxmd.com/read/28583765/current-role-and-future-perspectives-of-multivariate-chemometric-methods-in-nmr-spectroscopic-analysis-of-pharmaceutical-products
#20
REVIEW
Yulia B Monakhova, Ulrike Holzgrabe, Bernd W K Diehl
Nuclear magnetic resonance (NMR) is a fast and accurate analytical method. Associated with chemometrics, it gradually becomes more important tool for the pharmaceutical industry. In this review studies dealing with the applications of multivariate analysis to NMR spectroscopic profiles were grouped and discussed according to the analytical problem solved. The following topics were covered: authenticity of medicines according to variety, seasonal and geographical differences of herbal plants; quantitative prediction of pharmacologically relevant parameters; production and batches approval; investigation of drug structure modifications; site-specific natural isotope fractionation (SNIF-NMR) fingerprinting for origin and manufacturer tracking and others...
May 27, 2017: Journal of Pharmaceutical and Biomedical Analysis
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