Martin Ohalloran

Dr. Martin Ohalloran


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018 in IEEE Transactions on Biomedical Engineering
Verified
Journal Article
Closed access
Declan O'LoughlinDeclan O'Loughlin
Declan O'Loughlin
MOMartin Ohalloran
Martin Ohalloran
BMBrian M. Moloney
Brian M. Moloney
MGMartin Glavin
Martin Glavin
EJEdward Jones
Edward Jones
AEAdnan Elahi
Adnan Elahi
Objective: Microwave breast imaging has seen significant academic and commercial development in recent years, with four new operational microwave imaging systems used with patients since 2016. In this work, a comprehensive review of these recent clinical advances is presented, comparing patient populations and study outcomes. For the first time, the design of operational microwave imaging systems are compared in detail. Methods: Firstly, the current understanding of dielectric properties of human breast tissues is reviewed; considering evidence from operational microwave imaging systems and from dielectric properties measurement studies. Secondly, design features of operational microwave imaging systems are discussed in terms of advantages and disadvantages during clinical operation. Results: Reported results from patient imaging trials are compared, contrasting the principal results from each trial. Additionally, clinical experience from each trial is highlighted, identifying desirable system design features for clinical use. Conclusions: Increasingly, evidence from patient imaging studies indicate that a contrast in dielectric properties between healthy and cancerous breast tissues exists. However, despite the significant and encouraging results from patient trials, variation still exists in microwave imaging system design. Significance: This work seeks to define the current state-of-the-art in microwave breast imaging, and identify suitable design characteristics for ease of clinical use.

5 June 2018 in Diagnostics
Verified
Journal Article
Open access
PDF file
AGAlessandra La Gioia
Alessandra La Gioia
Emily PorterEmily Porter
Emily Porter
IMIlja Merunka
Ilja Merunka
ASAtif Shahzad
Atif Shahzad
SSSaqib Salahuddin
Saqib Salahuddin
MOMartin Ohalloran
Martin Ohalloran
Electromagnetic (EM) medical technologies are rapidly expanding worldwide for both diagnostics and therapeutics. As these technologies are low-cost and minimally invasive, they have been the focus of significant research efforts in recent years. Such technologies are often based on the assumption that there is a contrast in the dielectric properties of different tissue types or that the properties of particular tissues fall within a defined range. Thus, accurate knowledge of the dielectric properties of biological tissues is fundamental to EM medical technologies. Over the past decades, numerous studies were conducted to expand the dielectric repository of biological tissues. However, dielectric data is not yet available for every tissue type and at every temperature and frequency. For this reason, dielectric measurements may be performed by researchers who are not specialists in the acquisition of tissue dielectric properties. To this end, this paper reviews the tissue dielectric measurement process performed with an open-ended coaxial probe. Given the high number of factors, including equipment- and tissue-related confounders, that can increase the measurement uncertainty or introduce errors into the tissue dielectric data, this work discusses each step of the coaxial probe measurement procedure, highlighting common practices, challenges, and techniques for controlling and compensating for confounders.

23 May 2018 in Sensors
Verified
Journal Article
Open access
PDF file
AEAdnan Elahi
Adnan Elahi
Declan O'LoughlinDeclan O'Loughlin
Declan O'Loughlin
BLBenjamin Lavoie
Benjamin Lavoie
MGMartin Glavin
Martin Glavin
EJEdward Jones
Edward Jones
MOMartin Ohalloran
Martin Ohalloran
Confocal Microwave Imaging (CMI) for the early detection of breast cancer has been under development for over two decades and is currently going through early-phase clinical evaluation. The image reconstruction algorithm is a key signal processing component of any CMI-based breast imaging system and impacts the efficacy of CMI in detecting breast cancer. Several image reconstruction algorithms for CMI have been developed since its inception. These image reconstruction algorithms have been previously evaluated and compared, using both numerical and physical breast models, and healthy volunteer data. However, no study has been performed to evaluate the performance of image reconstruction algorithms using clinical patient data. In this study, a variety of imaging algorithms, including both data-independent and data-adaptive algorithms, were evaluated using data obtained from a small-scale patient study conducted at the University of Calgary. Six imaging algorithms were applied to reconstruct 3D images of five clinical patients. Reconstructed images for each algorithm and each patient were compared to the available clinical reports, in terms of abnormality detection and localisation. The imaging quality of each algorithm was evaluated using appropriate quality metrics. The results of the conventional Delay-and-Sum algorithm and the Delay-Multiply-and-Sum (DMAS) algorithm were found to be consistent with the clinical information, with DMAS producing better quality images compared to all other algorithms.

27 February 2009 in IEEE Transactions on Biomedical Engineering
Verified
Journal Article
Closed access
MOMartin Ohalloran
Martin Ohalloran
EJEdward Jones
Edward Jones
MGMartin Glavin
Martin Glavin
Microwave imaging via space-time (MIST) beamforming has been shown to be one of the most promising imaging modalities for detecting small malignant breast tumors. This paper outlines two modifications to the MIST system developed by Hagness for the early detection of breast cancer, resulting in a quasi-multistatic MIST beamformer (multi-MIST). Multistatic MIST beamforming involves illuminating the breast with an ultrawideband (UWB) signal from one antenna while collecting the reflections at an array of antennas, as opposed to traditional monostatic MIST beamforming where only the transmitting antenna records the reflections from the breast. In order to process the multistatic data, traditional data-adaptive artifact removal algorithms have to be modified to accommodate signals from all antennas. Also, the MIST beamforming algorithm, which spatially focuses the signal and compensates for frequency-dependent propagation effects, has to be modified. The algorithms are tested on a 2-D anatomically accurate finite-difference time-domain model of the breast. The multi-MIST beamformer described here is shown to offer an improved signal to clutter ratio when compared to the traditional monostatic MIST beamformer.

24 September 2020 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
SASahar Avazzadeh
Sahar Avazzadeh
SMShauna McBride
Shauna McBride
BOBarry O'Brien
Barry O'Brien
KCKen Coffey
Ken Coffey
AEAdnan Elahi
Adnan Elahi
LQLeo Quinlan
Leo Quinlan
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia and is associated with significant morbidity and mortality. The autonomic nervous system (ANS) plays an important role in the initiation and development of AF, causing alterations in atrial structure and electrophysiological defects. The intrinsic ANS of the heart consists of multiple ganglionated plexi (GP), commonly nestled in epicardial fat pads. These GPs contain both parasympathetic and sympathetic afferent and efferent neuronal circuits that control the electrophysiological properties of the myocardium. Pulmonary vein isolation and other cardiac catheter ablation targets including GP ablation can disrupt the fibers connecting GPs or directly damage the GPs, mediating the benefits of the ablation procedure. Ablation of GPs has been evaluated over the past decade as an adjunctive procedure for the treatment of patients suffering from AF. The success rate of GP ablation is strongly associated with specific ablation sites, surgical techniques, localization techniques, method of access and the incorporation of additional interventions. In this review, we present the current data on the clinical utility of GP ablation and its significance in AF elimination and the restoration of normal sinus rhythm in humans.

25 May 2020 in Sensors
Verified
Journal Article
Open access
PDF file
Nuno P. SilvaNuno P. Silva
Nuno P. Silva
ABAnna Bottiglieri
Anna Bottiglieri
Raquel ConceiçãoRaquel Conceição
Raquel Conceição
MOMartin Ohalloran
Martin Ohalloran
Laura FarinaLaura Farina
Laura Farina
Electromagnetic-based hyperthermic therapies induce a controlled increase of temperature in a specific tissue target in order to increase the tissue perfusion or metabolism, or even to induce cell necrosis. These therapies require accurate knowledge of dielectric and thermal properties to optimise treatment plans. While dielectric properties have been well investigated, only a few studies have been conducted with the aim of understanding the changes of thermal properties as a function of temperature; i.e., thermal conductivity, volumetric heat capacity and thermal diffusivity. In this study, we experimentally investigate the thermal properties of ex vivo ovine liver in the hyperthermic temperature range, from 25 °C to 97 °C. A significant increase in thermal properties is observed only above 90 °C. An analytical model is developed to model the thermal properties as a function of temperature. Thermal properties are also investigated during the natural cooling of the heated tissue. A reversible phenomenon of the thermal properties is observed; during the cooling, thermal properties followed the same behaviour observed in the heating process. Additionally, tissue density and water content are evaluated at different temperatures. Density does not change with temperature; mass and volume losses change proportionally due to water vaporisation. A 30% water loss was observed above 90 °C.