A Stripline-Type Inductor Used for NMR Detection

2012 ◽  
Vol 198-199 ◽  
pp. 1141-1146
Author(s):  
Bao Song Wu ◽  
Li Zhi Xiao ◽  
Xiao Nan Li ◽  
Bao Xin Guo
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Design Theory ◽  
High Sensitivity ◽  
Geometric Parameters ◽  
Field Homogeneity ◽  
Nuclear Magnetic

This paper tries to design a stripline-type inductor with high sensitivity that is used for micro-fluid in downhole nuclear magnetic resonance (NMR) detection. It discusses the design theory for the probe, and does analysis and simulation to guide the optimal geometric parameters. Radiofrequency B1 field homogeneity is evaluated. Finally, the prototype is made.

scholarly journals A New Hybrid Inversion Method for 2D Nuclear Magnetic Resonance Combining TSVD and Tikhonov Regularization

2021 ◽  
Vol 7 (2) ◽  
pp. 18
Author(s):  
Germana Landi ◽  
Fabiana Zama ◽  
Villiam Bortolotti
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Tikhonov Regularization ◽  
Large Scale ◽  
Regularization Parameter ◽  
High Sensitivity ◽  
Inversion Method ◽  
Nmr Relaxometry ◽  
Value Decomposition ◽  
Nuclear Magnetic

This paper is concerned with the reconstruction of relaxation time distributions in Nuclear Magnetic Resonance (NMR) relaxometry. This is a large-scale and ill-posed inverse problem with many potential applications in biology, medicine, chemistry, and other disciplines. However, the large amount of data and the consequently long inversion times, together with the high sensitivity of the solution to the value of the regularization parameter, still represent a major issue in the applicability of the NMR relaxometry. We present a method for two-dimensional data inversion (2DNMR) which combines Truncated Singular Value Decomposition and Tikhonov regularization in order to accelerate the inversion time and to reduce the sensitivity to the value of the regularization parameter. The Discrete Picard condition is used to jointly select the SVD truncation and Tikhonov regularization parameters. We evaluate the performance of the proposed method on both simulated and real NMR measurements.

scholarly journals Small bowel cancer diagnosis: role of nuclear magnetic resonance

2015 ◽  
Vol 9 (3) ◽  
Author(s):  
Alessandro Morotti ◽  
Dario Gned ◽  
Leonardo Di Martino ◽  
Claudia Vaccheris ◽  
Salvatore Lia ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Small Bowel ◽  
High Sensitivity ◽  
Modern Medicine ◽  
Bowel Cancer ◽  
Computed Tomography Scan ◽  
Tomography Scan ◽  
Nuclear Magnetic

The diagnosis of small intestine tumors is challenging. Even in the era of modern medicine, standard approaches including echography, computed tomography-scan and conventional endoscopy are unable to reveal small bowel lesions. Video-capsule has substantially improved the evaluation of small bowel; however this procedure cannot be proposed to all patients and in particular to those experiencing intestine sub-occlusion. Nuclear magnetic resonance (NRM) of the abdomen is an additional diagnostic approach that offers high sensitivity in the identification of small bowel lesions. Here, we describe a case of small bowel neoplasia indentified with NRM of the abdomen.

High sensitivity nuclear magnetic resonance probe for anvil cell pressure experiments

2009 ◽  
Vol 80 (7) ◽  
pp. 073905 ◽  
Author(s):  
Jürgen Haase ◽  
Swee K. Goh ◽  
Thomas Meissner ◽  
Patricia L. Alireza ◽  
Damian Rybicki
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
High Sensitivity ◽  
Nuclear Magnetic Resonance Probe ◽  
Nuclear Magnetic

GlycA: A Composite Nuclear Magnetic Resonance Biomarker of Systemic Inflammation

2015 ◽  
Vol 61 (5) ◽  
pp. 714-723 ◽  
Author(s):  
James D Otvos ◽  
Irina Shalaurova ◽  
Justyna Wolak-Dinsmore ◽  
Margery A Connelly ◽  
Rachel H Mackey ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Acute Phase ◽  
Systemic Inflammation ◽  
Acute Phase Proteins ◽  
High Sensitivity ◽  
Clinical Markers ◽  
Inflammatory Biomarker ◽  
Clinical Biomarkers ◽  
Nuclear Magnetic

Abstract BACKGROUND Nuclear magnetic resonance (NMR) spectra of serum obtained under quantitative conditions for lipoprotein particle analyses contain additional signals that could potentially serve as useful clinical biomarkers. One of these signals that we named GlycA originates from a subset of glycan N-acetylglucosamine residues on enzymatically glycosylated acute-phase proteins. We hypothesized that the amplitude of the GlycA signal might provide a unique and convenient measure of systemic inflammation. METHODS We developed a spectral deconvolution algorithm to quantify GlycA signal amplitudes from automated NMR LipoProfile® test spectra and assessed analytic precision and biological variability. Spectra of acute-phase glycoproteins and serum fractions were analyzed to probe the origins of the GlycA signal. GlycA concentrations obtained from archived NMR LipoProfile spectra of baseline plasma from 5537 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) were used to assess associations with demographic and laboratory parameters including measures of inflammation. RESULTS Major acute-phase protein contributors to the serum GlycA signal are α1-acid glycoprotein, haptoglobin, α1-antitrypsin, α1-antichymotrypsin, and transferrin. GlycA concentrations were correlated with high-sensitivity C-reactive protein (hsCRP) (r = 0.56), fibrinogen (r = 0.46), and interleukin-6 (IL-6) (r = 0.35) (all P < 0.0001). Analytic imprecision was low (intra- and interassay CVs 1.9% and 2.6%, respectively) and intraindividual variability, assessed weekly for 5 weeks in 23 healthy volunteers, was 4.3%, lower than for hsCRP (29.2%), cholesterol (5.7%), and triglycerides (18.0%). CONCLUSIONS GlycA is a unique inflammatory biomarker with analytic and clinical attributes that may complement or provide advantages over existing clinical markers of systemic inflammation.

scholarly journals High-sensitivity cooled coil system for nuclear magnetic resonance in kHz range

2014 ◽  
Vol 85 (11) ◽  
pp. 114708 ◽  
Author(s):  
Tingting Lin ◽  
Yi Zhang ◽  
Yong-Ho Lee ◽  
Hans-Joachim Krause ◽  
Jun Lin ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
High Sensitivity ◽  
Coil System ◽  
Nuclear Magnetic
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