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Miranda Kirby, PhD

Assistant Professor

KHS 344
Ryerson University
350 Victoria Street
Toronto, ON M5B 2K3
416-979-5000 ext. 544418
miranda.kirby@ryerson.ca

Specialization

  • Computed tomography (CT) Imaging
  • Magnetic Resonance Imaging (MRI)
  • Quantitative Image Analysis
  • Lung Diseases

Research

Our research focus is medical imaging, and how we can extract new information from images for applications in lung disease. Right now, medical imaging plays a very limited role in the management and treatment of patients with lung diseases, including chronic obstructive pulmonary disease (COPD), asthma and cystic fibrosis. Our lab is developing new ways that we can extract information from medical imaging technologies, like computed tomography (CT or “CAT scan”) and magnetic resonance imaging (MRI), that can tell us something about the underlying disease in the lung, where it is located and how severe it is – information that is not available with conventional clinical tools. Specifically, we develop quantitative methods that characterize the spatial and temporal disease dynamics, and use advanced image processing techniques to gain a much deeper understanding of how the disease initiates in the lung and progresses over time.

Our research is very interdisciplinary and involves collaborations with imaging physicists, biomedical engineers, and computer scientists that have expertise developing imaging analytics, as well as the clinicians that treat patients with lung disease. We welcome trainees from diverse backgrounds as well as new collaborations in academia, hospitals and industry.

For more information about our research, visit https://mirandakirbylab.com

Recent Publications

For a complete list of my publications, please refer to:
https://scholar.google.ca/citations?user=ELnK5s0AAAAJ&hl=en

Articles in Scholarly Refereed Journals:

  1. HK Koo, DM Vasilescu, S Booth, M Kirby, O Katsamenis, N Fishbane, G Zhou, M Elliott, P Lackie, I Sinclair, JA Warner, JD Cooper, HO Coxson, PD Pare, JC Hogg, TL Hackett. Small Airway Disease in Mild to Moderate Chronic Obstructive Pulmonary Disease. Lancet Respiratory Medicine. 2018 Aug; 6(8): 591-602.
  2. M Kirby and DD Sin. Imaging Endpoints in COPD Clinical Trials – Are We There Yet? CHEST. 2018 July; 145(1): 3-5.
  3. F Guo, D Capaldi, M Kirby, K Sheikh, S Svenningsen, DG McCormack, A Fenster and G Parraga. Development of a pulmonary imaging biomarker pipeline for phenotyping of chronic lung disease. JMI. 2018 June; 5(2): 026002.
  4. M Kirby and HO Coxson. Who is at Risk? The Role of Airway Imaging in Chronic Lung Disease Risk Assessment. Ann Am Thorac Soc. 2018 Jun; 15(6): 669-670.
  5. N Tanabe, DM Vasilescu, M Kirby, HO Coxson, D Kinose, Y Nakano, PD Pare and JC Hogg. Analysis of airway pathology in COPD using a combination of MDCT, micro CT and histology. Eur Respir J. 2018 Feb 14;51(2)
  6. FJF Herth, M Kirby, J Sieren, J Herth, J Schirm, S Wood and M Schuhmann. The Modern Art of Reading Computed Tomography Images of the Lungs: Quantitative CT. Respiration. 2017 Sep 16; doi: 10.1159/000480435. [Epub ahead of print].
  7. M Kirby, N Tanabe, WC Tan, G Zhou, M Obeidat, CJ Hague, J Leipsic, J Bourbeau, DD Sin, JC Hogg, HO Coxson. Total Airway Count on Computed Tomography and the Risk of COPD Progression: Findings from a Population-based Study. Am J Respir Crit Care Med. 2018 Jan 1;197(1):56-65.
  8. M Kirby, Y Yin, J Tschirren, WC Tan, J Leipsic, CJ Hague, J Bourbeau, DD Sin, JC Hogg, HO Coxson. A Novel Method of Estimating Small Airway Disease Using Inspiratory-to-Expiratory CT. Respiration. 2017 Aug 23; 94(4):336-345.
  9. M Kirby, RL Eddy, D Pike, S Svenningsen, HO Coxson, DD Sin, DG McCormack and G Parraga. MRI Ventilation Abnormalities Predict Quality-of-Life and Lung Function Changes in Mild-to-Moderate COPD: Longitudinal TINCan Study. Thorax. 2017 May; 72(5):475-477.
  10. F Guo, S Svenningsen, M Kirby, DPI Capaldi, K Sheikh, A Fenster and G Parraga. Thoracic CT-MRI Co-Registration for Regional Pulmonary Structure-Function Measurements of Obstructive Lung Disease. Med. Phys. 2017 May 1; 44(5): 1718-1733.