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Kenneth M Tichauer, Ph.D.

Kenneth M. Tichauer
Assistant Professor of Biomedical Engineering


Technology Business Center M-117, Wishnick Hall, Room 220







Ph.D. Medical Biophysics, University of Western Ontario, 2008
B.Sc. Physics, University of British Columbia, 2003


Molecular imaging, tracer kinetic modeling, cancer research


Our lab is developing medical imaging systems and protocols to provide improved treatment options to patients with cancer. Applications of our work include (1) helping surgeons better identify cancerous from non-cancerous tissue during resection operations, (2) providing more sensitive measures of cancer spread to tumor draining lymph nodes (both non-invasively and for biopsies), and (3) acquiring more accurate measures of the molecular environment of an individual’s cancer, so that the treatment can be tailored on a personalized level (commonly referred to a precision medicine). Our work predominantly employs optical imaging systems and agents; however, we are exploring adaptation of our innovations to clinical nuclear medicine imaging modalities as well.

Current Projects

Fluorescence-guided surgery

Quantitative molecular imaging

Blood flow and metabolism


Select Peer Reviewed Articles

  1. Lagnojita Sinha, Yu Wang, Cynthia Yang, Altaz Khan, Jovan G. Brankov, Jonathan T. Liu, Kenneth M. Tichauer. Quantification of cell surface receptor binding potential in tissue specimens using dual-tracer kinetic modeling of SERS nanoparticle retention. Scientific Reports. Accepted January 26, 2015. Reference #:SREP-14-11920. Impact Factor: 5.078
  2. Kimberley S. Samkoe, Kenneth M. Tichauer, Jason R. Gunn, Wendy A. Wells, Tayyaba Hasan, Brian W. Pogue. Quantitative in vivo immunohistochemistry of epidermal growth factor receptor using a receptor concentration imaging approach. Cancer Research. 74(24):7465-74, 2014. Impact Factor: 9.28
  3. Kenneth M. Tichauer, Kimberley S. Samkoe, Jason R. Gunn, Stephen C. Kanick, P. Jack Hoopes, Richard J. Barth, Peter A. Kaufman, Tayyaba Hasan, Brian W. Pogue. Microscopic lymph node tumor burden quantified by macroscopic dual-tracer molecular imaging. Nature Medicine. 20(11):1348-53, 2014. Impact Factor: 28.054
  4. Scott C. Davis, Kimberley S. Samkoe, Kenneth M. Tichauer, Kristian J. Sexton, Jason R. Gunn, Sophie J. Deharvengt, Tayyaba Hasan, Brian W. Pogue. Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo. Proceedings of the National Academy of Science 110(22):9025-9030, 2013. Impact Factor: 9.809
  5. Kenneth M. Tichauer, Kimberley S. Samkoe, Kristian J. Sexton, Shannon K. Hextrum, Harold H. Yang, W. Spencer Klubben, Jason R. Gunn, Tayyaba Hasan, Brian W. Pogue. In vivo quantification of tumor receptor binding potential with dual-reporter molecular imaging. Molecular Imaging and Biology 14(5):584-92, 2012. Impact Factor: 2.869