Natalia Irishina

University Carlos III de Madrid | UC3M · Department of Materials Science and Engineering and Chemical Engineering

Background: Surgical rescue of methotrexate-treated ectopic pregnancy is necessary when tubal rupture or medical therapy failure is detected during post-therapeutic monitoring. It is known that an increased beta human chorionic gonadotropin (β-hCG) concentration is the most important factor associated with treatment failure. Therefore, we suggeste...

Cordylobia anthropophaga is one of the most common agents of urogenital myiasis in African tropical regions. A case of vulvar myiasis due to the larvae of Cordylobia anthropophaga in a 16-year-old female is presented with a systematic review of the literature. A 16-year-old female with a history of recent journey to Senegal presented with a vulvar...

Microwave tomographic imaging is an inexpensive, noninvasive modality of media dielectric properties reconstruction which can be utilized as a screening method in clinical applications such as breast cancer and brain stroke detection. For breast cancer detection, the iterative algorithm of structural inversion with level sets provides well-defined...

In this paper, we study the possibility of using lifetime data to estimate the position and orientation of a fluorescent dipole source within a disordered medium. The vector Foldy-Lax equations are employed to calculate the interaction between the fluorescent source and the scatterers that are modeled as point-scatterers. The numerical experiments...

Objective: Since 1985 International Federation of Gynecology and Obstetrics includes pelvic and aortic lymphadenectomy as part of the surgical staging in epithelial ovarian cancer (EOC). There is no consensus on the overall number of nodes needed in a systematic lymphadenectomy. The aim of this study is to calculate the optimal cut-off value using...

We show that the source location problem can be solved in a scattering medium using the fluorescence lifetime and realistic a priori information. The intrinsic ill-posedness of the problem is reduced when the level of scattering increases. This work is a proof of principle demonstrating the high potential of quantitative lifetime imaging in complex...

In this work we study the limits for the applicability condition and a method to improve the structural reconstruction algorithm for breast lesions detection and characterization reported in [1]. The strategy shown in this reference permits to detect and characterize the tumors of 1 cm diameter situated deeply inside the dense breast if the contras...

We present a new inversion strategy for the early detection of breast cancer from microwave data which is based on a new multiphase level set technique. This novel structural inversion method uses a modification of the color level set technique adapted to the specific situation of structural breast imaging taking into account the high complexity of...

In this paper we investigate the performance of a shape-reconstruction technique as tested on the ‘Marseille data’. This approach, which is based on a level set technique, offers several advantages compared to other approaches, as for example well-defined boundaries and the incorporation of an intrinsic regularization in the form of a priori assump...

We present a level-set based technique to recover key characteristics of a defect or crack (e.g. location, length and shape) in a two-dimensional material from boundary electrical measurements. The key feature of this work is to extend the usual level-set technique for modeling volumetric objects to very thin objects. Two level-set functions are em...

In this paper, we propose and analyze a novel shape reconstruction technique for the early detection of breast cancer from microwave data, which is based on a level-set technique. The shape-based approach offers several advantages compared to more traditional pixel-based approaches when targeting the reconstruction of key characteristics of a hidde...

This work focuses on the application of breast cancer detection from microwave data. We present a novel shape-based reconstruction algorithm that makes use of level set techniques. Our reconstruction algorithm consists of several stages of increasing complexity in which more details of the anatomical structure of the breast interior are incorporate...

In this paper we propose and analyse a novel shape-reconstruction technique for the early detection of breast cancer from microwave data, which is based on a level-set technique. The shape-based approach offers several advantages compared to more traditional pixel-based approaches, as, for example, well-defined boundaries and the incorporation of a...

In this chapter we analyze the potential of a shape-based model based on a level-set technique for the early detection of breast cancer tumors from microwave data. A reconstruction using a shape-based model offers several advantages like well-defined boundaries and the incorporation of an intrinsic regularization that reduces the dimensionality of...

Microwave tomographic imaging is showing significant promise as a new technique for the early detection of breast cancer. Its physical basis is the contrast between the dielectric properties of the healthy breast tissue and the malignant tumors at microwave frequencies. We propose and analyze a novel shape-reconstruction technique for the early det...

We focus on the application of microwaves for the early detection of breast cancer. We investigate the potential of a novel strategy using shapes for modeling the tumor in the breast. An inversion using a shape-based model offers several advantages like well-defined boundaries and the incorporation of an intrinsic regularization that reduces the di...

In this paper we analyze the potential of a shape-based model for the early detection of breast tumors from microwave data. The tumors are modeled using a level-set technique. The formulation as a shape-reconstruction problem offers several advantages compared to more traditional pixel-based schemes, to mention in particular well-defined boundaries...

El cáncer de mama es una de las enfermedades que causan una mayor mortalidad entre las mujeres. Se estima que, sólo en Europa, una mujer es diagnosticada de esta enfermedad cada 2 minutos y medio, y que una muere cada 7 minutos y medio. Para su cura es fundamental la deteccin temprana de los pequeños tumores. Si éstos son detectados a tiempo, los t...