H relaxometry measurements of petroleum core plugs are commonly performed on low field magnets (<0.5 Tesla) to reduce the influence of magnetic susceptibility mismatch on measurements of the spin-spin relaxation time, T. The Signal to Noise Ratio (SNR) of the MR signal, however, generally decreases with lower magnetic fields. Higher magnetic fields (>3 Tesla) are typically employed in small animal MRI studies to improve SNR and image resolution. For many rock core plug samples, susceptibility mismatch effects can be severe at these higher fields leading to decreased T and T*. In this work we seek an answer to the general question of what is the best field for MRI of rock core plugs, anticipating that it will be both sample and measurement method dependent. Free Induction Decay (FID) relaxation time measurements were undertaken to investigate the conditions under which the SNR in Centric Scan SPRITE (Single Point Ramped Imaging with T Enhancement) MRI measurements is maximized. The image SNR benefits from greater signal at higher fields, but is negatively impacted by the correspondingly shorter signal lifetimes. Depending on the noise regime of the sample, the maximum SNR may be predicted for Centric Scan SPRITE MRI with T* being B field dependent. In this work we describe a series of simple experimental considerations to determine the optimal B field for SPRITE MRI. Selection of the best field is aided by a new generation of superconducting magnets which allows the experimentalist to readily vary the field strength. Such magnets allow one to experimentally control sample magnetization for high sensitivity MRI measurements of core plug samples, while controlling the effect of susceptibility mismatch on the signal lifetimes.
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http://dx.doi.org/10.1016/j.jmr.2019.106575 | DOI Listing |
Nat Commun
January 2025
Division of Digestive and Liver Diseases, Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
Lynch Syndrome (LS) is a common genetic cancer condition that allows for personalized cancer prevention and early cancer detection in identified gene carriers. We used data from the All of Us (AOU) Research Initiative to assess the prevalence of LS in the general U.S.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
Center for Vaccines and Immunology, University of Georgia, Athens, GA 30605, USA.
Standard-of-care influenza vaccines contain antigens that are typically derived from components of wild type (WT) influenza viruses. Often, these antigens elicit strain-specific immune responses and are susceptible to mismatch in seasons where antigenic drift is prevalent. Thanks to advances in viral surveillance and sequencing, influenza vaccine antigens can now be optimized using computationally derived methodologies and algorithms to enhance their immunogenicity.
View Article and Find Full Text PDFPathogens
November 2024
The Davies Livestock Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Adelaide, Adelaide, SA 5005, Australia.
, an important cause of enzootic pneumonia in pigs in many countries, has recently been shown to exhibit reduced susceptibility to several antimicrobial classes. In the present study, a total of 185 pig lung tissue samples were collected from abattoirs in Australia, from which 21 isolates of were obtained. The antimicrobial resistance profile of the isolates was determined for 12 antimicrobials using minimum inhibitory concentration (MIC) testing, and a subset ( = 14) underwent whole-genome sequence analysis.
View Article and Find Full Text PDFBiomedicines
December 2024
Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, 8 Akad. Lavrentyeva pr., Novosibirsk 630090, Russia.
The nervous system is susceptible to DNA damage and DNA repair defects, and if DNA damage is not repaired, neuronal cells can die, causing neurodegenerative diseases in humans. The overall picture of what is known about DNA repair mechanisms in the nervous system is still unclear. The current challenge is to use the accumulated knowledge of basic science on DNA repair to improve the treatment of neurodegenerative disorders.
View Article and Find Full Text PDFISA Trans
December 2024
College of Information Science and Engineering, Huaqiao University, Xiamen, 361002, China. Electronic address:
Iterative learning control (ILC) is a well-established method for achieving precise tracking in repetitive tasks. However, most ILC algorithms rely on a nominal plant model, making them susceptible to model mismatches. This paper introduces a novel normalization concept, developed from a frequency-domain perspective using a data-driven approach, thus eliminating the need for system model information.
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