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magnetic resonance fingerprinting

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https://www.readbyqxmd.com/read/29342836/cool-climate-red-wines-chemical-composition-and-comparison-of-two-protocols-for-%C3%A2-h-nmr-analysis
#1
Violetta Aru, Klavs Martin Sørensen, Bekzod Khakimov, Torben Bo Toldam-Andersen, Søren Balling Engelsen
This study investigates the metabolome of 26 experimental cool-climate wines made from 22 grape varieties using two different protocols for wine analysis by proton nuclear magnetic resonance (¹H-NMR) spectroscopy. The wine samples were analyzed as-is (wet) and as dried samples. The NMR datasets were preprocessed by alignment and mean centering. No normalization or scaling was performed. The "wet" method preserved the inherent properties of the samples and provided a fast and effective overview of the molecular composition of the wines...
January 13, 2018: Molecules: a Journal of Synthetic Chemistry and Natural Product Chemistry
https://www.readbyqxmd.com/read/29306396/variable-allelopathy-among-phytoplankton-reflected-in-red-tide-metabolome
#2
Remington X Poulin, Kelsey L Poulson-Ellestad, Jessie S Roy, Julia Kubanek
Harmful algae are known to utilize allelopathy, the release of compounds that inhibit competitors, as a form of interference competition. Competitor responses to allelopathy are species-specific and allelopathic potency of producing algae is variable. In the current study, the biological variability in allelopathic potency was mapped to the underlying chemical variation in the exuded metabolomes of five genetic strains of the red tide dinoflagellate Karenia brevis using 1H nuclear magnetic resonance (NMR) spectroscopy...
January 2018: Harmful Algae
https://www.readbyqxmd.com/read/29287330/detection-of-counterfeit-brand-spirits-using-1h-nmr-fingerprints-in-comparison-to-sensory-analysis
#3
Thomas Kuballa, Thomas Hausler, Alex O Okaru, Maria Neufeld, Kennedy O Abuga, Isaac O Kibwage, Jürgen Rehm, Burkhard Luy, Stephan G Walch, Dirk W Lachenmeier
Beverage fraud involving counterfeiting of brand spirits is an increasing problem not only due to deception of the consumer but also because it poses health risks e.g. from possible methanol admixture. Suspicious spirit samples from Russia and Kenya were analysed using 1H nuclear magnetic resonance (NMR) spectroscopy in comparison to authentic products. Using linear regression analysis of spectral integral values, 4 counterfeited samples from Russia and 2 from Kenya were easily identifiable with R2 < 0...
April 15, 2018: Food Chemistry
https://www.readbyqxmd.com/read/29285295/nmr-based-metabolomic-techniques-identify-potential-urinary-biomarkers-for-early-colorectal-cancer-detection
#4
Zhening Wang, Yan Lin, Jiahao Liang, Yao Huang, Changchun Ma, Xingmu Liu, Jurong Yang
Better early detection methods are needed to improve the outcomes of patients with colorectal cancer (CRC). Proton nuclear magnetic resonance spectroscopy (1H-NMR), a potential non-invasive early tumor detection method, was used to profile urine metabolites from 55 CRC patients and 40 healthy controls (HCs). Pattern recognition through orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied to 1H-NMR processed data. Model specificity was confirmed by comparison with esophageal cancers (EC, n=18)...
December 1, 2017: Oncotarget
https://www.readbyqxmd.com/read/29278766/phase-unwinding-for-dictionary-compression-with-multiple-channel-transmission-in-magnetic-resonance-fingerprinting
#5
Riccardo Lattanzi, Bei Zhang, Florian Knoll, Jakob Assländer, Martijn A Cloos
PURPOSE: Magnetic Resonance Fingerprinting reconstructions can become computationally intractable with multiple transmit channels, if the B1+ phases are included in the dictionary. We describe a general method that allows to omit the transmit phases. We show that this enables straightforward implementation of dictionary compression to further reduce the problem dimensionality. METHODS: We merged the raw data of each RF source into a single k-space dataset, extracted the transceiver phases from the corresponding reconstructed images and used them to unwind the phase in each time frame...
December 23, 2017: Magnetic Resonance Imaging
https://www.readbyqxmd.com/read/29258686/bioprofiling-of-salvia-miltiorrhiza-via-planar-chromatography-linked-to-bio-assays-high-resolution-mass-spectrometry-and-nuclear-magnetic-resonance-spectroscopy
#6
Ebrahim Azadniya, Gertrud E Morlock
An affordable bioanalytical workflow supports the collection of data on active ingredients, required for the understanding of health-related food, superfood and traditional medicines. Targeted effect-directed responses of single compounds in a complex sample highlight this powerful bioanalytical hyphenation of planar chromatography with (bio)assays. Among many reports about biological properties of Salvia miltiorrhiza Bunge root (Danshen) and their analytical methods, the highly efficient direct bioautography (DB) workflow has not been considered so far...
December 6, 2017: Journal of Chromatography. A
https://www.readbyqxmd.com/read/29243295/extended-phase-graph-formalism-for-systems-with-magnetization-transfer-and-exchange
#7
Shaihan J Malik, Rui Pedro A G Teixeira, Joseph V Hajnal
PURPOSE: An extended phase graph framework (EPG-X) for modeling systems with exchange or magnetization transfer (MT) is proposed. THEORY: EPG-X models coupled two-compartment systems by describing each compartment with separate phase graphs that exchange during evolution periods. There are two variants: EPG-X(BM) for systems governed by the Bloch-McConnell equations, and EPG-X(MT) for the pulsed MT formalism. For the MT case, the "bound" protons have no transverse components, so their phase graph consists of only longitudinal states...
December 15, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29166547/chemical-metabolome-assay-by-high-resolution-orbitrap-mass-spectrometry-and-assessment-of-associated-antitumoral-activity-of-actinocephalus-divaricatus
#8
Ana C Zanatta, Angela Mari, Milena Masullo, Iracilda Zeppone Carlos, Wagner Vilegas, Sonia Piacente, Lourdes Campaner Dos Santos
RATIONALE: Actinocephalus divaricatus (Eriocaulaceae) is an important source of income for the rural communities as it is sold as an ornamental plant. To date, no investigation has been conducted concerning the chemical composition and biological studies of the aerial parts of A. divaricatus. METHODS: The methanolic extract of the aerial parts of this species was chemically characterized. We applied an analytical dereplication approach based on Liquid Chromatography coupled to High Resolution Orbitrap Mass Spectrometry in order to develop, identify and define rapidly the metabolite fingerprint of the aerial parts of A...
November 22, 2017: Rapid Communications in Mass Spectrometry: RCM
https://www.readbyqxmd.com/read/29159935/bayesian-estimation-of-multicomponent-relaxation-parameters-in-magnetic-resonance-fingerprinting
#9
Debra McGivney, Anagha Deshmane, Yun Jiang, Dan Ma, Chaitra Badve, Andrew Sloan, Vikas Gulani, Mark Griswold
PURPOSE: To estimate multiple components within a single voxel in magnetic resonance fingerprinting when the number and types of tissues comprising the voxel are not known a priori. THEORY: Multiple tissue components within a single voxel are potentially separable with magnetic resonance fingerprinting as a result of differences in signal evolutions of each component. The Bayesian framework for inverse problems provides a natural and flexible setting for solving this problem when the tissue composition per voxel is unknown...
November 20, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29150616/nmr-metabolomics-for-stem-cell-type-discrimination
#10
Franca Castiglione, Monica Ferro, Evangelos Mavroudakis, Rosalia Pellitteri, Patrizia Bossolasco, Damiano Zaccheo, Massimo Morbidelli, Vincenzo Silani, Andrea Mele, Davide Moscatelli, Lidia Cova
Cell metabolism is a key determinant factor for the pluripotency and fate commitment of Stem Cells (SCs) during development, ageing, pathological onset and progression. We derived and cultured selected subpopulations of rodent fetal, postnatal, adult Neural SCs (NSCs) and postnatal glial progenitors, Olfactory Ensheathing Cells (OECs), respectively from the subventricular zone (SVZ) and the olfactory bulb (OB). Cell lysates were analyzed by proton Nuclear Magnetic Resonance ((1)H-NMR) spectroscopy leading to metabolites identification and quantitation...
November 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29143409/chronnectome-fingerprinting-identifying-individuals-and-predicting-higher-cognitive-functions-using-dynamic-brain-connectivity-patterns
#11
Jin Liu, Xuhong Liao, Mingrui Xia, Yong He
The human brain is a large, interacting dynamic network, and its architecture of coupling among brain regions varies across time (termed the "chronnectome"). However, very little is known about whether and how the dynamic properties of the chronnectome can characterize individual uniqueness, such as identifying individuals as a "fingerprint" of the brain. Here, we employed multiband resting-state functional magnetic resonance imaging data from the Human Connectome Project (N = 105) and a sliding time-window dynamic network analysis approach to systematically examine individual time-varying properties of the chronnectome...
November 15, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29100025/application-of-nuclear-magnetic-resonance-spectroscopy-for-the-detection-of-metabolic-disorders-in-patients-with-moderate-kidney-insufficiency
#12
Adriana Mika, Wojciech Wojtowicz, Adam Ząbek, Piotr Młynarz, Michal Chmielewski, Tomasz Sledzinski, Piotr Stepnowski
Chronic kidney disease (CKD) is one of the major problems of modern medicine and a huge socioeconomic burden. Thorough knowledge of metabolic alterations associated with this condition is vital to prevent its progression. However, still little is known about metabolic disorders associated with CKD. In this study, we used (1)H NMR spectroscopy and multivariate analysis to identify alterations in serum metabolites of patients with various stages of CKD. (1)H NMR spectroscopy followed by multivariate analysis showed that CKD patients differed from the controls in terms of 15 endogenous metabolites, and MetPA analysis demonstrated significant intergroup differences in 5 potential target pathways and 14 metabolites...
October 31, 2017: Journal of Pharmaceutical and Biomedical Analysis
https://www.readbyqxmd.com/read/29060594/simultaneous-multislice-magnetic-resonance-fingerprinting-with-low-rank-and-subspace-modeling
#13
Bo Zhao, Berkin Bilgic, Elfar Adalsteinsson, Mark A Griswold, Lawrence L Wald, Kawin Setsompop
Magnetic resonance fingerprinting (MRF) is a new quantitative imaging paradigm that enables simultaneous acquisition of multiple magnetic resonance tissue parameters (e.g., T1, T2, and spin density). Recently, MRF has been integrated with simultaneous multislice (SMS) acquisitions to enable volumetric imaging with faster scan time. In this paper, we present a new image reconstruction method based on low-rank and subspace modeling for improved SMS-MRF. Here the low-rank model exploits strong spatiotemporal correlation among contrast-weighted images, while the subspace model captures the temporal evolution of magnetization dynamics...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060592/fast-dictionary-generation-and-searching-for-magnetic-resonance-fingerprinting
#14
Jun Xie, Mengye Lyu, Jian Zhang, Edward S Hui, Ed X Wu, Ze Wang
A super-fast dictionary generation and searching (DGS) algorithm was developed for MR parameter quantification using magnetic resonance fingerprinting (MRF). MRF is a new technique for simultaneously quantifying multiple MR parameters using one temporally resolved MR scan. But it has a multiplicative computation complexity, resulting in a big burden of dictionary generating, saving, and retrieving, which can easily be intractable for any state-of-art computers. Based on retrospective analysis of the dictionary matching object function, a multi-scale ZOOM like DGS algorithm, dubbed as MRF-ZOOM, was proposed...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29057576/system-specific-activity-in-response-to-%C3%AE-9-tetrahydrocannabinol-a-functional-magnetic-resonance-imaging-study-in-awake-male-rats
#15
Dan Madularu, Jason R Yee, Praveen Kulkarni, Craig F Ferris
The aim of this study was to assess the effects of two doses of Δ⁹-tetrahydrocannabinol (THC, cannabis' main psychoactive agent) and vehicle on blood-oxygen-level dependent (BOLD) activity in drug-naïve, awake rats, in an effort to obtain a THC-specific map of activation in clinically-relevant regions and systems. Intraperitoneal injections of low dose of THC resulted in an increased positive and negative BOLD signal compared to vehicle and high dose in areas rich in cannabinoid receptor 1, as well as throughout the pain and hippocampal neural systems...
October 23, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28975359/urine-metabolomics-insight-into-acute-kidney-injury-point-to-oxidative-stress-disruptions-in-energy-generation-and-h2s-availability
#16
Marta Martin-Lorenzo, Laura Gonzalez-Calero, Angeles Ramos-Barron, Maria D Sanchez-Niño, Carlos Gomez-Alamillo, Juan Manuel García-Segura, Alberto Ortiz, Manuel Arias, Fernando Vivanco, Gloria Alvarez-Llamas
Acute kidney injury (AKI) is one of the main complications in acute care medicine and a risk factor for chronic kidney disease (CKD). AKI incidence has increased; however, its diagnosis has limitations and physiopathological mechanisms are underexplored. We investigated urine samples, aiming to identify major metabolite changes during human AKI evolution. Metabolic signatures found were further explored for a potential link to severity of injury. Twenty-four control subjects and 38 hospitalized patients with AKI were recruited and urine samples were collected at the time of diagnosis, during follow-up and at discharge...
December 2017: Journal of Molecular Medicine: Official Organ of the "Gesellschaft Deutscher Naturforscher und Ärzte"
https://www.readbyqxmd.com/read/28972967/ex-vivo-metabolic-fingerprinting-identifies-biomarkers-predictive-of-prostate-cancer-recurrence-following-radical-prostatectomy
#17
Peder R Braadland, Guro Giskeødegård, Elise Sandsmark, Helena Bertilsson, Leslie R Euceda, Ailin F Hansen, Ingrid J Guldvik, Kirsten M Selnæs, Helene H Grytli, Betina Katz, Aud Svindland, Tone F Bathen, Lars M Eri, Ståle Nygård, Viktor Berge, Kristin A Taskén, May-Britt Tessem
BACKGROUND: Robust biomarkers that identify prostate cancer patients with high risk of recurrence will improve personalised cancer care. In this study, we investigated whether tissue metabolites detectable by high-resolution magic angle spinning magnetic resonance spectroscopy (HR-MAS MRS) were associated with recurrence following radical prostatectomy. METHODS: We performed a retrospective ex vivo study using HR-MAS MRS on tissue samples from 110 radical prostatectomy specimens obtained from three different Norwegian cohorts collected between 2002 and 2010...
October 3, 2017: British Journal of Cancer
https://www.readbyqxmd.com/read/28934529/traveling-slow-oscillations-during-sleep-a-marker-of-brain-connectivity-in-childhood
#18
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
#19
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...
December 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
#20
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
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