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Paula Andrea Rudenick published an article about Assessment of Wall Elasticity Variations on Intraluminal Haemodynamics in Descending Aortic Dissections Using a Lumped-Parameter Model
Fig 1. Proposed experimental representation of a clinical aortic dissection and its equivalent lumped-parameter model.
Topic: Real-time microwave imaging device for endoscopic explorations and interventions
The LLAVOR program aims to fund innovative projects that are at the initial stage in the level of technological maturity, in order to enhance knowledge with potential to join the productive sector. In addition, the program includes a training program, hosted by UC Berkeley, aimed to the development of innovative projects that strengthen the process of teamwork.
Some members of PhySense have been collaborating during the last months with researchers at the Universidad de Zaragoza (the BSICOS group led by Prof. Pablo Laguna) and together with clinicians of the Arrhythmia Unit at the Department of Cardiology at Hospital Clínic de Barcelona (led by Dr. Antonio Berruezo) for the development of advanced signal processing techniques applied to electro-anatomical data. This collaboration has recently produced a journal paper that has just appeared in the IEEE Transactions on Biomedical Engineering journal, entitled "A Wavelet-Based Electrogram Onset Delineator for Automatic Ventricular Activation Mapping": http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6834811
PhySense seminar (Friday, July 11th): Marta Guardiola will talk about Multi-Antenna Multi-Frequency Microwave Imaging Systems for Medical Applications
In the last three decades, active microwave imaging systems are being considered for the internal inspection of light-opaque materials thanks to its capacity to penetrate and differentiate their constituents based on the contrast in dielectric properties with a sub-centimeter resolution. Microwave radiation is safe and the mature microwave technology offers the possibility to implement relatively low-cost and portable systems. Driven by the promising precedents of microwaves in other fields, an active electromagnetic research branch was focused to medical microwave imaging. The potential in breast cancer detection, or even in the more challenging brain stroke detection application, were recently identified.
In this presentation microwave tomography is proposed for medical diagnosis using Magnitude Combined algorithm. Special attention is devoted to the experimental validation, which constitutes the main challenge of the current microwave imaging systems. A proof-of-concept acquisition system was build and an inhomogeneous breast phantom with a tumor embedded was successfully reconstructed in less than 30 seconds per frequency.