Despite the significant number of studies published on measurements complex permittivity biological tissues in last thirty years, implementing a successful measurement program for dielectric can still present challenge researchers. Most problems are not theoretical but methodological or practical nature. In this article, lessons learned from experiences with goal-oriented presented by structuring them into guidelines efficient and useful properties tissues, aimed at addressing gaps...

Microwave Imaging (MI) has been widely investigated as a method to detect early stage breast cancer based on the dielectric contrast between normal and cancerous tissue at microwave frequencies. Furthermore, classiflcation methods have developed difierentiate malignant benign tumours. To successfully classify tumours using Ultra Wideband (UWB) radar, other features be examined than simply tumours, alone shown insuflcient. In this context, previous studies use of Radar Target Signature (RTS)...

Deep learning has become the state-of-the-art in area of biomedical imaging, leading to a large boost performance that approaches human levels. Medical microwave imaging is an emerging technology great potential especially breast cancer diagnosis. Moreover, obtained backscatter signals have also been shown be good basis for differentiating malignant and benign tumour type. We further analyse these results by applying deep methods dataset Finite Difference Time Domain (FDTD) numerical...

Electromagnetic-based hyperthermic therapies induce a controlled increase of temperature in specific tissue target order to the perfusion or metabolism, even cell necrosis. These require accurate knowledge dielectric and thermal properties optimise treatment plans. While have been well investigated, only few studies conducted with aim understanding changes as function temperature; i.e., conductivity, volumetric heat capacity diffusivity. In this study, we experimentally investigate ex vivo...

Ultra Wideband (UWB) radar is a promising emerging technology for breast cancer detection based on the dielectric contrast between normal and tumor tissues at microwave frequencies. One of most important considerations in developing UWB imaging system conflguration antenna array. Two speciflc conflgurations are currently under investigation, planar circular. The involves placing conformal array antennas naturally ∞attened with patient lying supine position. Conversely, circular prone...

Purpose The assessment of the size and shape breast tumors is utter importance to correct diagnosis staging cancer. In this paper, we classify tumor models varying sizes shapes using signals collected with a monostatic ultra‐wideband radar microwave imaging prototype system machine learning algorithms specifically tailored data. Methods A database comprising 13 benign malignant between 40 mm was created dielectrically representative tissue mimicking materials. These were placed inside two...

Ultra Wideband (UWB) radar has been extensively investigated as a means of detecting early-stage breast cancer.The basis for this imaging modality is the dielectric contrast between normal and cancerous tissue at microwave frequencies.However, based on similarities malignant benign tumour within breast, differentiating these types tissues in images may be problematic.Therefore, it important to investigate alternative methods analyse classify scatterers taking into account other...

The considerable overlap in the dielectric properties of benign and malignant tissue at microwave frequencies means that breast tumour classification using traditional UWB Radar imaging algorithms could be very problematic.Several studies have examined possibility Target Signature (RTS) a to classify as either or malignant, since RTS has been shown influenced by size, shape surface texture tumours.The main weakness existing is they mainly consider tumours 3D dielectrically homogenous 2D...

Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to design and develop non-invasive automated diagnosis systems. Recent microwave imaging studies have shown how backscattered signals carry relevant information about the shape of a tumour, tumour is used with current modalities assess malignancy. This paper presents comprehensive analysis systems which use machine learning learn characteristics benign malignant tumours. The state-of-the-art, main...

The number of metastasised Axillary Lymph Nodes (ALNs) is a key indicator for breast cancer staging. Its correct assessment affects subsequent therapeutic decisions. Common ALN screening modalities lack high enough sensitivity and specificity. Level I ALNs produce detectable backscattering microwaves, opening the way Microwave Imaging (MWI) as complementary modality. Radar-based MWI low-cost, non-invasive technique, widely studied brain stroke detection. However, new specific challenges...

Microwave Imaging (MI) has been extensively investigated for a number of years to develop technique detect breast cancer at the earliest stages development. MI this application is based on exploiting dielectric contrast between normal tissue and cancerous microwave frequencies. Recent findings have reported overlapping properties malignant benign tumour tissue. Therefore, differentiating tumours alone potentially problematic. Alternative methods classification be developed improve...

This study presents the first experimental results using a pre-clinical UWB prototype imaging system for tumour classification based on shape of tumours. A database 13 benign and malignant tumours with average diameters between 40 mm was created dielectrically-representative tissue-mimicking material. Classification models data completed Linear Discriminant Analysis Quadratic classifiers.

Abstract The dielectric properties of biological tissues are key parameters that support the design and usability a wide range electromagnetic-based medical applications, including for diagnostics therapeutics, allow determination safety health effects due to exposure electromagnetic fields. While an extensive body literature exists reports on values these different tissue types under measurement conditions, it is now evident there large uncertainties inconsistencies between reports. Due...

Breast cancer is one of the most common cancers in women. In United States alone, it accounts for 31% new cases, and second only to lung as leading cause deaths American More than 184,000 cases breast are diagnosed each year resulting approximately 41,000 deaths. Early detection intervention significant factors improving survival rates quality life experienced by sufferers, since this time when treatment effective. One promising imaging modalities microwave imaging. The physical basis active...

In this paper, a follow-up study exploring the classification of phantoms mimicking benign and malignant breast tumours, using pre-clinical Ultra Wideband (UWB) prototype imaging system, is presented. A database 13 tumour was created material which mimicked dielectric properties tissues in 1-6GHz frequency range. The performed machine learning algorithm - Support Vector Machines (SVM) results were compared to those previous by authors where Linear Discriminant Analysis Quadratic considered.

Breast cancer diagnosis using radar-based medical MicroWave Imaging (MWI) has been studied in recent years. Realistic numerical and physical models of the breast are needed for simulation experimental testing MWI prototypes. We aim to provide scientific community with an online repository multiple accurate realistic tissue derived from Magnetic Resonance (MRI), including benign malignant tumours. Such suitable 3D printing, leveraging testing. propose a pre-processing pipeline, which includes...

Recent studies have shown that the dielectric properties of normal breast tissue vary considerably. This heterogeneity may mean identiflcation tumours using Ultra Wideband Radar imaging alone be quite di-cult. Signiflcantly, since benign were to overlap with those malignant, tumour classiflcation traditional UWB algorithms could very problematic. Rather than simply examining scatterers within breast, other features must used for classiflcation. Target Signatures been previously classify due...

In this letter, a novel method for the generation of numerical 3-D clinically informed breast tumor models microwave imaging applications is proposed, which greatly enhances flexibility in creating realistic models. The proposed was validated through collaboration with cancer clinicians and conforms to BI-RADS labeling standards. Moreover, issue accurate positioning within existing also addressed.

Dental caries is a major oral health issue which compromises health, as it the main cause of pain and tooth loss. Early detection essential for effective clinical intervention. However, methods commonly employed its diagnosis often fail to detect early lesions, motivates research more diagnostic solutions. In this work, relative permittivity healthy permanent teeth, in caries-prone areas, was studied between 0.5 18 GHz. The reliability such measurements an important first step to,...

We assess the application of microwave tomography (MWT) for detection axillary lymph nodes (ALNs) in breast cancer patients. numerically study effects limiting angular view MWT, as probes can only be placed on a limited arc around region. also possibility increasing amount retrievable information by acquiring data two consecutive steps, with single antenna set different positions. finally experimentally test MWT anthropomorphic phantoms levels anatomical fidelity, and ALN Our system (0.8–2.5...