Special Issue "Latest Advances and Applications of Magnetic Resonance Imaging"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 1399

Special Issue Editor

Dr. Wing-Chi Edmund Kwok
E-Mail Website
Guest Editor
Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642, USA
Interests: high-resolution MRI RF coil development; water/fat MR imaging; preclinical MRI development and applications; clinical MRI applications; MRI safety

Special Issue Information

Dear Colleagues,

Since its conception in the 1970s and first clinical utilization in the 1980s, magnetic resonance imaging (MRI) has been developed into an indispensable diagnostic and research tool. MRI has the unique advantages of being non-ionizing while providing cross-sectional or 3-dimensional images with excellent soft tissue contrast. Over the years, advances in MRI hardware (e.g., magnet, radiofrequency coils, gradient coils), pulse sequences, computing capability, and reconstruction/processing algorithms have widely broadened MRI applications by providing numerous techniques such as diffusion/perfusion imaging, angiography, contrast-enhanced dynamic studies, real-time cardiac imaging, fat fraction measurement, and elastography of the liver. In addition to its diagnostic applications, MRI has also been proven useful for biomedical research, such as studies of brain functions and connectivity using functional MRI (fMRI) or diffusion tensor imaging (DTI), animal modeling studies of disease processes and treatment outcomes, as well as nonmedical applications, such as in the food industry.

In recent years, MRI technological advances have been made in the utilization of artificial intelligence, compress sensing, parallel imaging, simultaneous multislice or a combination of these techniques to achieve faster image acquisition and to improve image quality through the reduction of image artifacts or noise and increase in spatial resolution. MR fingerprinting is another emerging technology that reduces scan time by quantifying multiple MR tissue properties from a single scan. New advances and applications in MRI are also being made in MRI hardware and pulse sequences. Examples include technical developments and applications on 7T or higher field systems and the utilization of ultrashort echo-time sequences for lung or bone imaging.

This Special Issue focuses on the latest advances and applications of magnetic resonance imaging. We invite researchers and investigators to contribute original research or review papers to this Special Issue.

Dr. Wing-Chi Edmund Kwok
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • • Magnetic Resonance Imaging
  • • MRI pulse sequences
  • • MRI hardware
  • MRI acquisition techniques
  • MR image reconstruction and processing techniques
  • MRI applications
  • Fast MR imaging techniques
  • Functional MRI
  • Quantitative MRI
  • Artificial intelligence and MRI

Published Papers (1 paper)

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Research

Article
EPTlib: An Open-Source Extensible Collection of Electric Properties Tomography Techniques
Appl. Sci. 2021, 11(7), 3237; https://doi.org/10.3390/app11073237 - 04 Apr 2021
Viewed by 827
Abstract
Electric properties tomography (EPT) is a novel magnetic resonance imaging–based method to estimate non-invasively the distribution of the electric properties in the human body. In this paper, EPTlib, an open-source extensible C++ library collecting ready-to-use algorithms for electric properties tomography, is presented. [...] Read more.
Electric properties tomography (EPT) is a novel magnetic resonance imaging–based method to estimate non-invasively the distribution of the electric properties in the human body. In this paper, EPTlib, an open-source extensible C++ library collecting ready-to-use algorithms for electric properties tomography, is presented. Currently, EPTlib implements three techniques, named Helmholtz-EPT, convection-reaction-EPT and gradient-EPT, whose derivation and implementation is deeply discussed. Moreover, the configuration files needed by the terminal application included in EPTlib to apply the implemented techniques are outlined. The three techniques are applied to a couple of model problems in order to highlight their main features and the effects of the tunable parameters. Full article
(This article belongs to the Special Issue Latest Advances and Applications of Magnetic Resonance Imaging)
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