Advances in Biomedical Microwave Imaging and Sensing

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Point-of-Care Diagnostics and Devices".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1005

Special Issue Editors


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Guest Editor
Department of Mathematics and Engineering, Hellenic Military Academy, Evelpidon Avenue (Varis–Koropiou) Vari P.O., 16673 Athens, Greece
Interests: biomedical devices; microwave imaging; biomedical signal processing; biomedical engineering; bioelectromagnetics

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Guest Editor
Department of Mathematics and Engineering, Hellenic Military Academy, Evelpidon Avenue (Varis–Koropiou) Vari P.O., 16673 Athens, Greece
Interests: applied electromagnetics; telecom and biomedical antennas; microwave, mm-wave and THz technology; metamaterials; MRI technology; bioelectromagntics

Special Issue Information

Dear Colleagues,

Biomedical microwave imaging and sensing have emerged as promising technologies in the field of healthcare. Leveraging the properties of microwaves, these modalities offer non-invasive and radiation-free alternatives for imaging and monitoring biological tissues. Building upon the principles of radar technology, biomedical microwave imaging utilizes low-power microwaves to penetrate tissues and generate detailed images. It has shown potential in various applications, including breast cancer detection, brain imaging, and monitoring physiological parameters. These techniques have the advantage of being cost-effective, portable, and safe.

The next steps towards the clinical use of biomedical microwave imaging and sensing involve addressing several challenges. Firstly, further advancements in imaging algorithms and machine learning techniques are needed to enhance image quality, improve resolution, and reduce artifacts. Secondly, validation studies and clinical trials are essential to establish the efficacy and reliability of microwave imaging and sensing in real-world healthcare settings. Moreover, the miniaturization and optimization of hardware components, such as antennas and sensors, will contribute to the development of compact and user-friendly devices suitable for clinical use. Finally, regulatory approvals are crucial to ensure widespread adoption and integration into routine clinical practice and into existing medical systems. By addressing these steps, these techniques hold great potential for revolutionizing medical diagnostics and monitoring, leading to improved patient outcomes and personalized healthcare.

Prof. Dr. Irene Karanasiou
Dr. Maria Koutsoupidou
Guest Editors

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. Diagnostics 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.

Keywords

  • microwave imaging systems
  • microwave imaging algorithms
  • biomedical microwave monitoring
  • biomedical microwave sensors
  • antennas for microwave imaging

Published Papers (1 paper)

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Research

17 pages, 6472 KiB  
Article
Microwave Angiography by Ultra-Wideband Sounding: A Preliminary Investigation
by Somayyeh Chamaani, Jürgen Sachs, Alexandra Prokhorova, Carsten Smeenk, Tim Erich Wegner and Marko Helbig
Diagnostics 2023, 13(18), 2950; https://doi.org/10.3390/diagnostics13182950 - 14 Sep 2023
Cited by 1 | Viewed by 674
Abstract
Angiography is a very informative method for physicians such as cardiologists, neurologists and neuroscientists. The current modalities experience some shortages, e.g., ultrasound is very operator dependent. The computerized tomography (CT) and magnetic resonance (MR) angiography are very expensive and near infrared spectroscopy cannot [...] Read more.
Angiography is a very informative method for physicians such as cardiologists, neurologists and neuroscientists. The current modalities experience some shortages, e.g., ultrasound is very operator dependent. The computerized tomography (CT) and magnetic resonance (MR) angiography are very expensive and near infrared spectroscopy cannot capture the deep arteries. Microwave technology has the potential to address some of these issues while compromising between operator dependency, cost, speed, penetration depth and resolution. This paper studies the feasibility of microwave signals for monitoring of arteries. To this aim, a homogenous phantom mimicking body tissue is built. Four elastic tubes simulate arteries and a mechanical system creates pulsations in these arteries. A multiple input multiple output (MIMO) array of ultra-wideband (UWB) transmitters and receivers illuminates the phantom and captures the reflected signals over the desired observation time period. Since we are only interested in the imaging of dynamic parts, i.e., arteries, the static clutters can be suppressed easily by background subtraction method. To obtain a fast image of arteries, which are pulsating with the heartbeat rate, we calculate the Fourier transform of each channel of the MIMO system over the observation time and apply delay and sum (DAS) beamforming method on the heartbeat rate aligned spectral component. The results show that the lateral and longitudinal images and motion mode (M-mode) time series of different points of phantom have the potential to be used for diagnosis. Full article
(This article belongs to the Special Issue Advances in Biomedical Microwave Imaging and Sensing)
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