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Electronics
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Biomedical Applications of Micro/Millimeter Waves
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Biomedical Applications of Micro/Millimeter Waves

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 6009

Special Issue Editors

Dr. Simona Di Meo

E-Mail Website
Guest Editor
Department of electrical computer and biomedical engineering, University of Pavia, 27100 Pavia, Italy
Interests: microwave and millimeter-wave imaging; tissue-mimicking phantom; dielectric characterization of biological tissues; biomedical imaging; early detection of breast cancer; radar imaging
Prof. Dr. Raffaele Solimene

E-Mail Website
Guest Editor
Dipartimento di Ingegneria, Università degli Studi della Campania, 81031 Aversa, Italy
Interests: microwave imaging and sensing; inverse scadering problems; radar imaging
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, microwaves and millimeter waves are gaining increasing interest in the biomedical field as a minimally or completely non-invasive technique for the diagnosis and treatment of various diseases. The non-ionizing nature of this type of radiation, the availability of affordable instrumentation, as well as the fundamental dielectric contrast between healthy and diseased tissues, are some of the drivers that are motivating research in this direction. The increasingly dense literature of results is a clear sign of the possibilities offered by microwaves in the medical field.

In this Special Issue, we would like to highlight the main achievements of research in this area, highlighting also the challenges still to be faced and the infinite possibilities still to be explored for the use of microwaves in the biomedical field. We invite you and your research team to submit your high-quality manuscript for publication in this Special Issue.

Dr. Simona Di Meo
Prof. Dr. Raffaele Solimene
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. Electronics 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 2400 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 and mm-wave biomedical systems
  • Frequency-dependent dielectric properties of tissues
  • Temperature-dependent dielectric properties of tissues
  • Tissue-mimicking phantoms
  • Diagnostic and therapeutic applications of microwaves

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Published Papers (3 papers)

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Research

13 pages, 3649 KiB  
Article
Localization of Small Objectives from Scattering Parameter via Bistatic Measurement Configuration
by Seong-Ho Son and Won-Kwang Park
Electronics 2022, 11(19), 3054; https://doi.org/10.3390/electronics11193054 - 25 Sep 2022
Viewed by 1094
Abstract
We develop a sampling-type algorithm for localizing a small object from scattering parameter data measured in a bistatic configuration. To this end, we design a sampling-type imaging function based on the integral equation formula for the scattering parameter. To clarify its applicability, we [...] Read more.
We develop a sampling-type algorithm for localizing a small object from scattering parameter data measured in a bistatic configuration. To this end, we design a sampling-type imaging function based on the integral equation formula for the scattering parameter. To clarify its applicability, we show that the imaging function can be expressed by the bistatic angle, antenna arrangement, and Bessel function of an integer order. This result reveals some properties of the imaging function and influence of the selection of the bistatic angle. Numerical experiments are carried out for single and multiple small and large objectives to illustrate the pros and cons of the developed algorithm. Full article
(This article belongs to the Special Issue Biomedical Applications of Micro/Millimeter Waves)
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16 pages, 3044 KiB  
Article
Microwaves as Diagnostic Tool for Pituitary Tumors: Preliminary Investigations
by Filippo Casula, Matteo Bruno Lodi, Nicola Curreli, Alessandro Fedeli, Rosa Scapaticci, Giacomo Muntoni, Andrea Randazzo, Nikola Djuric, Luca Vannucci and Alessandro Fanti
Electronics 2022, 11(10), 1608; https://doi.org/10.3390/electronics11101608 - 18 May 2022
Viewed by 2094
Abstract
To date, tumors, the second cause of death worldwide, are a modern medicine plight. The development of rapid, cost-effective and reliable prevention and diagnostics tools is mandatory to support clinicians and ensure patients’ adequate intervention. Pituitary tumors are a class of neoplasm, which [...] Read more.
To date, tumors, the second cause of death worldwide, are a modern medicine plight. The development of rapid, cost-effective and reliable prevention and diagnostics tools is mandatory to support clinicians and ensure patients’ adequate intervention. Pituitary tumors are a class of neoplasm, which calls for suitable and ad hoc diagnostic tools. Recently, microwaves have gained interest as a non-ionizing, non-invasive valuable diagnostic approach for identifying pathologic tissues according to their dielectric properties. This work deals with the preliminary investigation of the feasibility of using microwaves to diagnose pituitary tumors. In particular, it focuses on benign tumors of the adenohypophysis, e.g., the pituitary adenomas. It is assumed to access the region of interest of the pituitary region by following a trans-sphenoidal approach. The problem was modeled by developing an equivalent transmission line model of the multi-layered, lossy tissues (front bone of sphenoid sinuses, air in the sinuses, posterior bone of sphenoid sinuses, the pituitary gland and the tumor). The forward problem was developed to investigate the transmission coefficient for identifying the most favorable propagation conditions. Then, it was analyzed if, by the solution of an inverse problem, it is possible to reconstruct the permittivity and electrical conductivity profiles and identify the tumor presence. The results are promising since a maximum reconstruction error of 8% is found, in the worst case, thus paving the way for the use of microwaves for the diagnosis of pituitary tumors. Full article
(This article belongs to the Special Issue Biomedical Applications of Micro/Millimeter Waves)
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14 pages, 3273 KiB  
Article
A Forward-Backward Iterative Procedure for Improving the Resolution of Resonant Microwave Sensors
by Giovanni Buonanno, Adriana Brancaccio, Sandra Costanzo and Raffaele Solimene
Electronics 2021, 10(23), 2930; https://doi.org/10.3390/electronics10232930 - 26 Nov 2021
Cited by 4 | Viewed by 1535
Abstract
This paper sets out a method for improving the resolution of resonant microwave sensors. Usually, the frequency response of these devices is associated with a low quality factor, and consequently with a low resolution in terms of tracking capacity of the resonance frequency [...] Read more.
This paper sets out a method for improving the resolution of resonant microwave sensors. Usually, the frequency response of these devices is associated with a low quality factor, and consequently with a low resolution in terms of tracking capacity of the resonance frequency shift. Furthermore, since only a finite number of samples can be acquired during the measurement process, the “true” resonance frequency may not be included in the set of acquired data. In order to have an accurate estimate of the resonance frequency, high performance systems with very fine frequency sampling are thus required. To limit these drawbacks, an iterative algorithm is presented which aims to refine the response of resonant microwave sensors by means of a suitable post-processing. The algorithm evaluation is first carried out on synthetic data, and then applied on experimental data referring to a practical scenario, which is inherent to return loss measurements performed by a microwave patch antenna immersed in a water-glucose solution with different concentrations. Full article
(This article belongs to the Special Issue Biomedical Applications of Micro/Millimeter Waves)
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