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Recent Advances in Magnetic Resonance Imaging for Disease Diagnosis
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Recent Advances in Magnetic Resonance Imaging for Disease Diagnosis

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 4170

Special Issue Editor

Prof. Dr. Daoying Geng

E-Mail Website
Guest Editor
Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
Interests: magnetic resonance imaging; molecular imaging; medical diagnosis; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the research focus of magnetic resonance diagnosis has changed from structural imaging to functional imaging, molecular imaging, and artificial intelligence. In the future, higher-resolution magnetic resonance sequences and higher field strength magnetic resonance equipment will also be used. The topics of interest include, but are not limited to:

  • MRI;
  • stroke;
  • diagnosis;
  • functional MRI;
  • molecular imaging;
  • artificial intelligence;
  • radiomics;
  • deep learning;
  • machine learning

Prof. Dr. Daoying Geng
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sensors 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 2600 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.

Published Papers (2 papers)

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Research

12 pages, 2208 KiB  
Article
MRI-Compatible Microcirculation System Using Ultrasonic Pumps for Microvascular Imaging on 3T MRI
by Ju-Yeon Jung, Dong-Kyu Seo, Yeong-Bae Lee and Chang-Ki Kang
Sensors 2022, 22(16), 6191; https://doi.org/10.3390/s22166191 - 18 Aug 2022
Viewed by 1319
Abstract
The diagnosis of small vessel disease is attracting interest; however, it remains difficult to visualize the microvasculature using 3 Tesla (T) magnetic resonance imaging (MRI). Therefore, this study aimed to visualize the microvascular structure and measure a slow flow on 3T MRI. We [...] Read more.
The diagnosis of small vessel disease is attracting interest; however, it remains difficult to visualize the microvasculature using 3 Tesla (T) magnetic resonance imaging (MRI). Therefore, this study aimed to visualize the microvascular structure and measure a slow flow on 3T MRI. We developed a microcirculation system using piezoelectric pumps connected to small tubes (0.4, 0.5, 0.8, and 1.0 mm) and evaluated various MR sequences and imaging parameters to identify the most appropriate acquisition parameters. We found that the system could image small structures with a diameter of 0.5 mm or more when using a 1 m-long tube (maximal signal intensity of 241 in 1 mm, 199 in 0.8 mm, and 133 in 0.5 mm). We also found that the highest signal-to-noise ratio (SNR) appeared on 2-dimensional time-of-flight low-resolution imaging and that the flow velocity (10.03 cm/s) was similar to the actual velocity (11.01 cm/s in a flowmeter) when velocity encoding of 30 cm/s was used in a 0.8 mm-diameter tube. In conclusion, this study demonstrates that a microcirculation system can be used to image small vessels. Therefore, our results could serve as a basis for research on vessels’ anatomical structure and pathophysiological function in small vessel disease. Full article
(This article belongs to the Special Issue Recent Advances in Magnetic Resonance Imaging for Disease Diagnosis)
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13 pages, 3951 KiB  
Article
Investigation of Flow Changes in Intracranial Vascular Disease Models Constructed with MRA Images
by Jeong-Heon Kim, Ju-Yeon Jung, Yeong-Bae Lee and Chang-Ki Kang
Sensors 2022, 22(6), 2302; https://doi.org/10.3390/s22062302 - 16 Mar 2022
Cited by 1 | Viewed by 2325
Abstract
This study aimed to develop a magnetic resonance imaging (MRI)-compatible flow delivery system and individualized models of circle of Willis (CoW), which include 50% and 100% blockage in internal carotid artery (ICA50 and ICA100), and 100% blockage in vertebral artery (VA100). Images were [...] Read more.
This study aimed to develop a magnetic resonance imaging (MRI)-compatible flow delivery system and individualized models of circle of Willis (CoW), which include 50% and 100% blockage in internal carotid artery (ICA50 and ICA100), and 100% blockage in vertebral artery (VA100). Images were obtained using 3D time-of-flight and phase-contrast magnetic resonance angiography (MRA) sequences, and changes in velocity and flow direction at CoW models were analyzed. For the ICA50 and VA100 models, the flow was similar to that of the normal model. For the ICA 50 model, it was found that 50% blockage did not affect cerebral blood flow. For the VA100 model, decreased flow in the posterior cerebral artery and a change to the flow direction in the posterior communicating artery were found. For the ICA100 model, particularly, decreased flow in the ipsilateral middle and anterior cerebral arteries and a change to the flow direction in the ipsilateral anterior cerebral artery of the CoW were found. These results demonstrated that the flow system with various CoW disease models tailored to individual characteristics could be used to predict stroke onset more quickly. For the ICA50 and VA100 models, the possibility of cerebral infarction was significantly lower. On the other hand, for the ICA100 model, there was a high possibility of decreased flow, which could lead to cerebral infarction. Full article
(This article belongs to the Special Issue Recent Advances in Magnetic Resonance Imaging for Disease Diagnosis)
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