Kenneth M Tichauer

  • Associate Professor of Biomedical Engineering

Education

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

Research Interests

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

Publications

Select Peer Reviewed Articles

  1. Nathan P. McMahon, Allison Solanki, Lei G. Wang, Antonio R. Montaño, Jocelyn A. Jones, Kimberley S. Samkoe, Kenneth M. Tichauer, Summer L. Gibbs. TRIPODD: A novel fluorescence imaging platform for in situ quantification of drug distribution and therapeutic response. Molecular Imaging and Biology. Accepted.

  2. Veronica C. Torres, Chengyue Li, Jovan G. Brankov, Kenneth M. Tichauer. Model-Based system matrix for iterative reconstruction in sub-diffuse angular-domain fluorescence optical projection tomography. Biomedical Optics Express. 12(3), 1248-1262, 2021.

  3. Chengyue Li, Veronica C. Torres, Yusheng He, Xiaochun Xu, Yusairah Basheer, Georgia Papavasiliou, Kimberley S. Samkoe, Jovan G. Brankov, Kenneth M. Tichauer. Intraoperative detection of micrometastases in whole excised lymph nodes using fluorescent paired agent imaging principles: identification of a suitable staining and rinsing protocol. Molecular Imaging and Biology. Accepted.

  4. Veronica C. Torres, Chengyue Li, Wei Zhou, Jovan G. Brankov, Kenneth M. Tichauer. Characterization of an angular domain fluorescence optical projection tomography system for mesoscopic lymph node imaging. Applied Optics. 60(1), 135-146, 2021.

  5. Negar Sadeghipour, Aakanksha Rangnekar, Margaret R. Folaron, Rendall R. Strawbridge, Kimberley S. Samkoe, Scott C. Davis, Kenneth M. Tichauer. Prediction of optimal contrast times post-imaging-agent-administration to inform personalized fluorescence-guided surgery. Journal of Biomedical Optics. 25(11), 116005, 2020.

  6. 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
  7. 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
  8. 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
  9. 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
  10. 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

Expertise

Molecular imaging, tracer kinetic modeling, cancer research

Kenneth Tichauer

Contact Information

312.567.3858 312.567.3225 3440 S. Dearborn Street, Suite 100, Room M117