Microwave Imaging for the Diagnosis of Cervical Diseases: A Feasibility Analysis

Dachena, Chiara; Fedeli, Alessandro; Fanti, Alessandro; Lodi, Matteo Bruno; Pastorino, Matteo; Randazzo, Andrea

doi:10.1109/jerm.2020.3042711

Cited by 20 publications

(32 citation statements)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, portable microwave systems for knee imaging have been recently proposed [286], also developed as a wearable textile brace [287], with the goal of detecting ligaments/tendon tears. Microwave imaging of the neck has also been considered, for the possible diagnosis of cervical diseases [288]. Moreover, recent studies propose the use of imaging techniques at microwave frequencies for the monitoring of thermal ablation (which is discussed in another section).…”

Section: B Microwave Imagingmentioning

confidence: 99%

Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications

Kiourti

Abbosh

Αθανασίου

et al. 2022

IEEE Open J. Antennas Propag.

Self Cite

View full text Add to dashboard Cite

Rapid advances in antennas, propagation, electromagnetics, and materials are opening new and unexplored opportunities in body area sensing and stimulation. Next-generation wearables and implants are seamlessly providing round-the-clock monitoring. In turn, numerous applications are brought forward with the potential to ultimately transform healthcare, sports, consumer electronics, and beyond. This review paper provides a comprehensive overview, discusses challenges and opportunities, and indicates future directions for: (a) enabling technologies needed to make body area sensing and stimulation a reality, and (b) emerging bioelectromagnetics applications that may readily benefit from such technologies.

show abstract

Section: B Microwave Imagingmentioning

confidence: 99%

Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications

Kiourti

Abbosh

Αθανασίου

et al. 2022

IEEE Open J. Antennas Propag.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The dielectric properties of the matching medium have been selected in order to increase the field penetration and to reduce the reflection due to the skin. In particular, as shown in [13], a 70% glycerin/water mixture allows obtaining a good trade-off between these two requirements. Consequently, in this work the dielectric properties of the matching medium have been set to 𝜀 𝑟 = 43 and 𝜎 = 0.8 S/m, i.e., an average value of such a mixture in the considered frequency band.…”

Section: Definition Of the Training Setmentioning

confidence: 99%

“…Moreover, a microwave imaging system can highlight additional details about the part of interest of the human body, which can be merged with the information obtained by the standard techniques. The use of microwave imaging is nowadays consolidated in some medical applications, like breast cancer [2]- [6] and brain stroke detection [7]- [10], although the application to other body parts is increasing, such as arms [11], torso [12], and neck [13], [14]. In addition to the neck imaging, the last medical application is focused on the microwave hyperthermia of neck tumors [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection

Dachena

Fedeli²,

Fanti

et al. 2021

IEEE Open J. Antennas Propag.

Self Cite

View full text Add to dashboard Cite

In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumor detection is presented. The aim of this technique is to retrieve the geometric and dielectric properties of the neck to identify the possible presence of tumors, starting from scattered electric field data. A fully-connected neural network is developed to test the feasibility of the proposed approach. Moreover, a numerical model including the main features of a cross section of the neck is specifically designed in order to create a suitable training dataset. Subsequently, for the optimization of the ANN architecture and performance evaluation, a numerical analysis is conducted. A set of simulated cases, based on realistic neck phantoms, is tested to evaluate the robustness of the network. Preliminary results show the possibility to identify and locate neck tumors.

show abstract

“…The current modalities which are considered as gold standards, such as magnetic resonance imaging (MRI), X-rays, computed tomography methods or CT scanning and ultrasound, each have their shortcomings. For example: X-rays and CT scans involve ionizing radiation, limiting frequent screening; MRI is expensive and not suitable for frequent mass screenings; ultrasound imaging is operator-dependent and requires real-time interpretation [8][9][10][11][12]. Further, the nonspecificity of available techniques for skin cancer requires biopsies, which are uncomfortable to the patient and invasive.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous Skin Phantoms for Experimental Validation of Microwave-Based Diagnostic Tools

Boparai

Popović

2022

Sensors

View full text Add to dashboard Cite

Considerable exploration has been done in recent years to exploit the reported inherent dielectric contrast between healthy and malignant tissues for a range of medical applications. In particular, microwave technologies have been investigated towards new diagnostic medical tools. To assess the performance and detection capabilities of such systems, tissue-mimicking phantoms are designed for controlled laboratory experiments. We here report phantoms developed to dielectrically represent malign skin lesions such as liposarcoma and nonsyndromic multiple basal cell carcinoma. Further, in order to provide a range of anatomically realistic scenarios, and provide meaningful comparison between different phantoms, cancer-mimicking lesions are inserted into two different types of skin phantoms with varying tumor–skin geometries. These configurations were measured with a microwave dielectric probe (0.5–26.5 GHz), yielding insight into factors that could affect the performance of diagnostic and detection tools.

show abstract

Microwave Imaging for the Diagnosis of Cervical Diseases: A Feasibility Analysis

Cited by 20 publications

References 78 publications

Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications

Next-Generation Healthcare: Enabling Technologies for Emerging Bioelectromagnetics Applications

Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection

Heterogeneous Skin Phantoms for Experimental Validation of Microwave-Based Diagnostic Tools

Contact Info

Product

Resources

About