Research on computational algorithms for the analysis of biomedical images and their applications in biomedicine
Medical imaging is revolutionizing medicine, as it allows scientists, clinicians, and researchers to peer inside the living body. Our lab develops automated and interactive computational methods and mathematical models for extracting useful information from these images. Our research is especially critical, giving the continuously increasing number, resolution, and complexity of biomedical images collected at multiple scales using different modalities for numerous medical applications. Our lab’s techniques are needed to track, diagnose and treat pathologies, as well as to build models of normal anatomy and function. Our application areas include: neurology, cardiology, dermatology, surgery, radiology, urology, musculoskeletal, pediatrics, radiation therapy, and linguistics.
2D and 3D image processing and analysis, shape modeling and analysis, medical imaging analytics, quantitative medical imaging, medical computer vision solutions, machine learning for medicine, big data in medicine
- Life sciences, pharmaceuticals and medical equipment
Specialized labs and equipment
Equipment |
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3D image processing and visualization work stations and servers |
3D medical imaging software |
Private and public sector research partners
- McKesson Medical Imaging
- Halifax Biomedical Inc.
- BC Cancer Agency
- Vancouver General Hospital
- Lions Gate Hospital
- BC Children's Hospital
- Multiple Sclerosis / Magnetic Resonance Imaging Research Group at UBC (UBC MS/MRI)
- Pacific Parkinsons Research Institute
- TRIUMF
Additional information
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URL |
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Publications by Prof. Beg |
http://www2.ensc.sfu.ca/~mfbeg/PUBLICATIONS/refereed_journal_publications.htm |
Virtual worms crawl through 3-D medical images |
http://technews.acm.org/archives.cfm?fo=2006-11-nov/nov-08-2006.html#286026 |
Andrew Top wins innovation award for paper on 3D biomedical images |
http://www.cs.sfu.ca/newsandevents/2013/andrew-top-innovation-in-technology.html |
Best paper award recognizes MRI advances |
http://www.cs.sfu.ca/newsandevents/archives/2011/brian-booth.html |
Medical Image Analysis with ITK on Apple iOS |
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Technology for Doctors, Research at university lab is shaping up - Non-invasive 3D image diagnostics |