Angie Fasoula

• PhD
• Wavelia Development Manager at Microwave Vision Group (MVG)

Microwave imaging is an emerging imaging modality with the potential to support the diagnosis of breast cancer. Over the last two decades, a notable number of MicroWave Breast Imaging (MWBI) prototype devices have been developed and experimentally tested in Europe, North America and Asia. A small number of prototypes are currently in large-scale cl...

Microwave Breast Imaging (MBI) is an emerging non-ionizing imaging modality, with the potential to support breast diagnosis and management. Wavelia is an MBI system prototype, of 1st generation, which has recently completed a First-In-Human (FiH) clinical investigation on a 25-symptomatic patient cohort, to explore the capacity of the technology to...

Objective The Wavelia Microwave Breast Imaging (MBI) system, based on non-ionising imaging technology, has demonstrated exciting potential in the detection and localisation of breast pathology in symptomatic patients. In this study, the ability of the system to accurately estimate the size and likelihood of malignancy of breast lesions is detailed,...

Rationale and Objectives Microwave Breast Imaging (MBI) is an emerging non-ionising technology with the potential to detect breast pathology. The investigational device considered in this article is a low-power electromagnetic wave MBI prototype that demonstrated the ability to detect dielectric contrast between tumour phantoms and synthetic fibrog...

This paper presents a method for transforming the coordinates of regions of interest from 2D mammograms to a 3D spatial reference frame using estimates of breast tissue thickness provided by an available software for mammography data analysis. The method was developed to assist in interpreting and validating the 3D findings of a microwave breast im...

Many clinical investigations of microwave breast imaging systems are ongoing. However, few studies have investigated the optimal antenna design to maximise imaging performance. In this paper, the impact of the radial behaviour of the antenna on coverage area is investigated. A simplified antenna model in a homogeneous medium is used to estimate the...

In this paper, preliminary results of the first-in-human clinical investigation with the Wavelia Microwave Breast Imaging (MBI) system prototype are presented. The clinical feasibility of the system, in terms of potential to detect both malignant and benign palpable breast lesions, is illustrated with the MBI results of two patient scans. Some iden...

Wavelia is a low-power electromagnetic wave breast imaging device for breast cancer diagnosis, which consists of two subsystems, both performing non-invasive examinations: the Microwave Breast Imaging (MBI) subsystem and the Optical Breast Contour Detection (OBCD) subsystem. The Wavelia OBCD subsystem is a 3D scanning device using an infrared 3D st...

This paper outlines the identification and characterization of the principal sources of measurement uncertainty in the Wavelia Microwave Breast Imaging experimental prototype, which will be used in a first-inhuman clinical investigation at Galway University Hospital, Ireland. A first approach for identifying the various error sources is provided. T...

This paper focuses on the data preprocessing scheme, as well as on the frequency selection and spatial filtering modules integrated with a Time-Reversal Multiple Signal Classification (TR-MUSIC) algorithm, for microwave breast imaging. This algorithm is part of the data processing chain of the Wavelia Microwave Breast Imaging (MBI) system prototype...

Microwave imaging is a non-ionising modality which offers insight into the dielectric properties of tissue. The exciting potential of dielectric property discrepancies between normal breast parenchyma and the breast cancer has been investigated for many years. In 1984 Chaudhary et al. (1) identified that greatest permittivity differences could be r...

This paper presents the Wavelia microwave breast imaging system that has been recently installed at the Galway University Hospital, Ireland, for a first-in-human pilot clinical test. Microwave breast imaging has been extensively investigated over the last two decades as an alternative imaging modality that could potentially bring complementary info...

In this paper, two estimation problems are tackled. Firstly, the robust estimation of the external contour of the breast, using data from a Radio-Frequency (RF) Ultra-Wide Band (UWB) scan. Secondly, the registration between the RF breast scan and the breast scan using a 3D stereographic infrared camera. The bi-modality data registration is meant fo...

This article gives an overview of the activities of the company Microwave Vision, formerly Satimo, oriented to health-related applications. The existing products in terms of Specific Absorption Rate (SAR) measurement and RF safety are described in detail. The progress of the development of a new imaging modality for breast pathology detection using...

In this article, several well-known data-driven causality methods are revisited and comparatively evaluated. These are the Granger-Geweke Causality (GGC), the Partial Directed Coherence (PDC), the Directed Transfer Function (DTF) and the Direct Directed Transfer Function (dDTF). The robustness of the four causality measures against two degradation...

In this thesis, the modeling of extended objects with low-dimensional representations of their 2D geometry is addressed. The ultimate objective is the classification of the objects using libraries of such compact 2D object models that are much smaller than in the state-of-the-art classification schemes based on (High Range Resolution) HRR data. The...

The two-dimensional (2D) geometry of extended objects is modelled as a discrete constellation of a small number of scattering centres. Each scattering centre is characterised by its 2D location and extension, as well as by its observability from aspect angles spanning a wide angular interval. The considered input information of the modelling consis...

This paper addresses the estimation of a two-dimensional model of an object, based on measurements with a network of High Range Resolution (HRR) scanning surveillance radars. While considering a dynamic radar scene, the data collected from the multiple radars at multiple scans of the antenna provide a wide, but highly sparse, coverage in 2D space....

Taking into account sparsity of the reflectivity function of several radar targets of interest, efficient low-complexity automatic target recognition (ATR) systems can be designed. Such ATR systems would be based on two-dimensional (2D) spatial target models of low dimensionality, where critical information on the radar target signature is summariz...

Estimation of a parametric 2D spatial target model is proposed in this paper, with ultimate goal to support radar target classification. Limited number of multi-aspect High Range Resolution (HRR) data from a radar network are used as source of information. Back-projection in 2D space and mixture model fitting is applied for the estimation. The ghos...

Taking into account sparsity of the reflectivity function of several radar targets of interest, efficient low-complexity automatic target recognition (ATR) systems can be designed. A low-dimensional 2D spatial model, where information on the radar target signature is compressed, can be estimated using high range resolution (HRR) data from a sparse...

Radar target classification based on 2D stochastic object model matching is studied in this paper. A network of high range resolution (HRR) radars provides range measurements at multiple time steps, while the extended object is moving in the surveillance area. Alignment of the multi-aspect HRR data in a common 2D coordinate system is required. For...

In this paper, the problem of target classification from multiple high range resolution (HRR) radars data is studied. The use of multi-sensor angle-diverse data aims at shortening of the required time before a decision is made, as compared to using single-sensor data. In order to avoid the high-dimensional HRR profile databases, involved in the cla...