Now showing items 1-11 of 11

    • Anatomically and dielectrically realistic microwave head phantom with circulation and reconfigurable lesions 

      McDermott, Barry; Porter, Emily; Santorelli, Adam; Divilly, Brendan; Morris, Liam; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (The Electromagnetics Academy, 2017)
      Phantoms provide valuable test platforms for developing medical devices. Solid materials in particular allow fabrication of stable and robust models. This paper presents a novel, anatomically realistic, multi-layered head ...
    • Classification applied to brain haemorrhage detection: Initial phantom studies using electrical impedance measurements 

      McDermott, Barry; O'Halloran, Martin; Santorelli, Adam; McGinley, Brian; Porter, Emily (EIT2018, 2018-06-11)
      Machine learning and classification algorithms are applied to data collected from an EIT system. The system is used with an anatomically accurate head phantom setup in a variety of situations modelling normal and haemorrhagic ...
    • Electrical impedance tomography with exploitation of symmetry 

      McDermott, Barry; Porter, Emily; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (Bioengineering in Ireland 2018, 2018-01-26)
      Electrical Impedance Tomography (EIT) is an imaging technique involving an electrode array positioned around the area of interest. Alternating current is injected, and voltage measured, between electrode pairs in a prescribed ...
    • Image-based classification of bladder state using electrical impedance tomography 

      Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2018-12-03)
      Objective: In this study, we examine the potential of using machine learning classification to determine the bladder state ( not full , full ) with electrical impedance tomography (EIT) images of the pelvic region. Accurate ...
    • The Influence of Cell Type on Artificial Development 

      Maher, John; Morgan, Fearghal; O'Riordan, Colm; McGinley, Brian (2013)
      Two variants of biologically inspired cell model, namely eukaryotic (containing a nucleus) and prokaryotic (without a nucleus) are compared in this research. Experiments are designed to provide an understanding of how the ...
    • A novel tissue-mimicking material for phantom development in medical applications of EIT 

      McDermott, Barry; Porter, Emily; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (EIT2017, 2017-06-21)
      A solid Tissue-Mimicking Material (TMM) with adjustable conductivity properties, which can be matched to those of biological tissue, is presented. TMM models of breast fat and gland matching the conductivity of real tissue ...
    • Realistic 3D finite element mesh of the adult human pelvis for electrical impedance tomography 

      Dunne, Eoghan; Porter, Emily; McGinley, Brian; O'Halloran, Martin (Zenodo, 2017-06-21)
      The finite element method is a numerical technique used to solve forward models for electrical impedance tomography. To date, realistic finite element models (FEMs) have been created for the head and thorax, but pelvic ...
    • A realistic pelvic phantom for electrical impedance measurement 

      Dunne, Eoghan; McGinley, Brian; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2018-03-15)
      Objective: To design and fabricate an anatomically and conductively accurate phantom for electrical impedance studies of non-invasive bladder volume monitoring. Approach: A modular pelvic phantom was designed and fabricated, ...
    • Stable tissue-mimicking materials and an anatomically realistic, adjustable head phantom for electrical impedance tomography 

      McDermott, Barry; McGinley, Brian; Krukiewicz, Katarzyna; Divilly, Brendan; Jones, Marggie; Biggs, Manus; O'Halloran, Martin; Porter, Emily (IOP Publishing, 2017-11-27)
      Objective. To develop dielectrically accurate, easy to mould solid tissue-mimicking materials (TMMs) for use with electrical impedance tomography (EIT) and combine them into a head phantom with realistic anatomy and ...
    • Supervised learning classifiers for electrical impedance-based bladder state detection 

      Dunne, Eoghan; Santorelli, Adam; McGinley, Brian; Leader, Geraldine; O’Halloran, Martin; Porter, Emily (Nature Publishing Group, 2018-03-29)
      Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of life of individuals. Bladder state detection technology has the potential to improve the lives of people with urinary ...
    • Symmetry difference electrical impedance tomography-a novel modality for anomaly detection 

      McDermott, Barry; Porter, Emily; Jones, Marggie; McGinley, Brian; O'Halloran, Martin (IOP Publishing, 2018-04-26)
      Objective: The theoretical basis, experimental implementation, and proof of concept of a novel electrical impedance tomography (EIT) imaging technique, called symmetry difference EIT, is described. This technique is ...