Now showing items 1-13 of 13

    • 3D printable solid tissue-mimicking material for microwave phantoms 

      McDermott, Barry; Porter, Emily; O’Halloran, Martin; Poudel, Anup; Biggs, Manus; Karode, Nireeksha S.; Coffey, Austin B. (IEEE, 2018-09-10)
      Phantoms provide valuable platforms for testing of medical devices including microwave diagnostic systems. This work describes a 3D printable solid tissue-mimicking material (TMM) for the production of such phantoms. The ...
    • Bi-Frequency Symmetry Difference (BFSD) EIT in stroke diagnosis 

      McDermott, Barry; O'Halloran, Martin; Porter, Emily (EIT2019, 2019-07-01)
      BFSD-EIT can detect deviations in the inherent normal symmetry of the head due to, for example, the presence of a bleed or clot in stroke. We assess the potential of BFSD-EIT to robustly detect lesions under a series of ...
    • Bi-frequency symmetry difference EIT - feasibility and limitations of application to stroke diagnosis 

      McDermott, Barry; O'Halloran, Martin; Avery, James; Porter, Emily (Institute of Electrical and Electronics Engineers (IEEE), 2019-12-19)
      Objective: Bi-Frequency Symmetry Difference (BFSD)-EIT can detect, localize and identify unilateral perturbations in symmetric scenes. Here, we test the viability and robustness of BFSD-EIT in stroke diagnosis. Methods: A ...
    • Bi-frequency symmetry difference electrical impedance tomography a novel technique for perturbation detection in static scenes 

      McDermott, Barry; Avery, James; O'Halloran, Martin; Aristovich, Kirill Y.; Porter, Emily (IOP Publishing, 2019-02-20)
      Objective: A novel method for the imaging of static scenes using Electrical Impedance Tomography (EIT) is reported with implementation and validation using numerical and phantom models. The technique is applicable to regions ...
    • Brain haemorrhage detection through SVM classification of electrical impedance tomography measurements 

      McDermott, Barry; Dunne, Eoghan; O’Halloran, Martin; Porter, Emily; Santorelli, Adam (Springer, Cham, 2019-08-28)
      A brain haemorrhage constitutes a serious medical scenario with a need for rapid, accurate detection to facilitate treatment initiation. Machine learning (ML) techniques applied to such medical diagnostic problems can ...
    • Brain haemorrhage detection through SVM classification of impedance measurements 

      McDermott, Barry; O'Halloran, Martin; Porter, Emily; Santorelli, Adam (NUI Galway, 2018-07-17)
      Machine Learning is becoming increasingly important in interpreting biological signals. In this work, we examine the potential for classification in brain haemorrhage detection. Numerical head and brain models with and ...
    • Detailed dielectric characterisation of the heart and great vessels 

      Istuk, Niko; McDermott, Barry; Porter, Emily; Santorelli, Adam; Abedi, Soroush; O’Halloran, Martin; Joachimowicz, Nadine; Roussel, Helene (IEEE, 2020-03-15)
      The dielectric properties of biological tissues play a significant role in the planning and development of electro- magnetic thermal therapies. In most cases in the literature, heart is considered as a homogeneous organ ...
    • Dielectric properties of bones for the monitoring of osteoporosis 

      Amin, Bilal; Elahi, Muhammad Adnan; Shahzad, Atif; Porter, Emily; McDermott, Barry; O’Halloran, Martin (Springer, 2018-08-29)
      Osteoporosis is one of the most common diseases that leads to bone fractures. Dual-energy X-ray absorptiometry is currently employed to measure the bone mineral density and to diagnose osteoporosis. Alternatively, the ...
    • An empirical dielectric mixing model for biological tissues 

      Salahuddin, Saqib; McDermott, Barry; Porter, Emily; O’Halloran, Martin; Elahi, Muhammad Adnan; Shahzad, Atif (IEEE, 2019-03-31)
      Dielectric properties of biological tissues are critically important for various electromagnetic based medical therapeutic and diagnostic technologies. This paper attempts to develop an empirical dielectric mixture model ...
    • Feasibility of water content-based dielectric characterisation of biological tissues using mixture models 

      Balduino, Roberta; McDermott, Barry; Porter, Emily; Elahi, Muhammad Adnan; Shahzad, Atif; O'Halloran, Martin; Cavagnaro, Marta (IEEE, 2019-01-23)
      This study quantitatively examines the validity of mixture formulae as models to describe the microwave-range dielectric properties of biological tissue of varying water content. Mixture formulae, specifically the Maxwell ...
    • Gamma band light stimulation in human case studies: Groundwork for potential Alzheimer's disease treatment 

      Jones, Marggie; McDermott, Barry; Oliveira, Bárbara Luz; O'Brien, Aoife; Coogan, Declan; Lang, Mark; Moriarty, Niamh; Dowd, Eilis; Quinlan, Leo; Mc Ginley, Brian; Dunne, Eoghan; Newell, David; Porter, Emily; Elahi, Muhammad Adnan; O' Halloran, Martin; Shahzad, Atif (IOS Press, 2019-05-27)
      It is known that proteins associated with Alzheimer's disease (AD) pathogenesis are significantly reduced by 40¿Hz entrainment in mice. If this were to translate to humans, verifying that such a light stimulus can induce ...
    • Monitoring microwave thermal ablation using electrical impedance tomography: an experimental feasibility study 

      Bottiglieri, Anna; Dunne, Eoghan; McDermott, Barry; Cavagnaro, Marta; Porter, Emily; Farina, Laura (IEEE, 2020)
      Low-cost and reliable methods for monitoring the size of the ablation zone during microwave thermal ablation (MTA) are crucial in the oncological clinical practice. The aim of this work is to test the performance of ...
    • Static lesion detection in symmetric scenes using dual-frequency electrical impedance tomography 

      McDermott, Barry; O'Halloran, Martin; Porter, Emily (NUI Galway, 2019-01-18)
      Tissues have characteristic frequency dependent impendence to electrical current. This property is exploited by Electrical Impedance Tomography (EIT), an emerging biomedical imaging technique. In EIT, electrical conductivity ...