Quantitative Image Analysis in Medicine
Principal Investigator: Miranda Kirby PhD
Toronto Metropolitan University
What We Do
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. Underlying disease in the lung, where it is located and how severe it is – are information this is not available with conventional clinical tools. Specifically, we develop quantitative methods that characterize the spatial and temporal disease dynamics, and use advanced image process techniques like machine learning, to gain a much deeper understanding of how the disease initiates in the lung and progresses over time.
Biology
Our research is grounded in understanding lung disease biology, including the cellular and tissue-level changes in conditions like COPD, asthma and cystic fibrosis. We analyze how these disease progress within lung structures and interpret medical imaging data to identify disease patterns and mechanisms.
Physics
Physics principles, particularly in imaging technologies, are essential to our work. We utilize MRI and CT imaging physics to optimize image quality, spatial resolution, and accuracy, which allows us to detect subtle disease markers not visible in conventional imaging.
Computer Science
We leverage advanced computer science methods, like machine learning and quantitative analysis, to process and interpret imaging data. This computational approach helps us build predictive models, detect disease markers and map disease progression, making our analysis more precise and informative to patient care.
Our research is very interdisciplinary and involves collaborations with imaging physicist, biomedical engineers, computer scientist 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.
Lab News
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Who We Are
Razieh Enjilela
Kalysta Makimoto
Dan Genkin
Gauravveer Singh
COLLOABORATORS & COHORTS
Podcast Features
Listen In: Our Latest Podcast Features
Discover our lab’s recent conservations and insights as featured on podcasts. Catch up on the latest development in our labs work on advancing medical imaging to better understand lung diseases like COPD, Emphysema, Cystic Fibrosis and more.
From research breakthrough to latest discussions in our field.
Join Our Team !
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Welcome!
We welcome applicants from a wide range of undergraduate backgrounds, including but not limited to physics, engineering, computer science, mathematics. If you have a strong desire to apply your problem-solving skills to real-world clinical challenges, we want to hear from you.
Prospective candidates are invited to submit their CV and unofficial academic transcript to Dr. Miranda Kirby at miranda.kirby@torontomu.ca