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Kathryn Keenan

Kathryn Keenan, PhD is the Quantitative Magnetic Resonance Imaging (MRI) Project Leader in the Applied Physics Division, where she works to improve the repeatability and reliability of MRI. Dr. Keenan started at NIST as an NRC post-doctoral scholar and created an MRI reference object (phantom) for assessing the accuracy and comparability of breast cancer imaging methods. Currently, she is developing methods to validate advanced quantitative MRI techniques.

Dr. Keenan, along with her colleagues Dr. Michael Boss, Dr. Stephen Russek and Dr. Karl Stupic won the 2015 CO-LABS Governor’s Award for High-Impact research, public health & life sciences and a 2016 Department of Commerce Gold Medal as well as the inaugural Department of Commerce Excellence in Innovation Award.

Outside of the lab, Dr. Keenan won a national championship in road cycling, and now she enjoys running the trails in Colorado.

Current Research Projects:

  • Measuring the variability in quantitative MRI for clinical use
  • Development and validation of quantitative susceptibility mapping MRI
  • Validation of advanced quantitative MRI techniques using ‘living phantoms’


Progress Towards Standards for Quantitative MRI (qMRI) and Outstanding Needs

Kathryn E. Keenan, Joshua R. Biller, Michael A. Boss, Adele P. Peskin, Karl F. Stupic, Stephen E. Russek, Jana Delfino, Mark Does, Jeffrey L. Evelhoch, Mark Griswold, Jeffrey Gunter, R Scott Hinks, Stuart Hoffman, Geena Kim, Riccardo Lattanzi, Xiaojuan Li, Luca Marinelli, Pratik Mukherjee, Robert J. Nordstrom, Elena Perez, Berkman Sahiner, Natalie J. Serkova, Amita Shukla-Dave, Michael Steckner, Lisa J. Wilmes, Holden Wu, Huiming Zhang, Edward F. Jackson, Daniel Sullivan
The National Institute of Standards and Technology (NIST) MRI Standards project held a one-day workshop on August 4, 2017 on campus in Boulder, CO. The goal of

Quantitative Magnetic Resonance Imaging Phantoms: A Review and the Need for a System Phantom

Kathryn E. Keenan, Maureen Ainslie, Alexander J. Barker, Michael A. Boss, Kim M. Cecil, Cecil Charles, Thomas L. Chenevert, Laurence Clarke, Jeffrey L. Evelhoch, Paul Finn, Guoying Liu, Stephen E. Russek, Karl F. Stupic, Joshua D. Trzasko, Chun Yuan, Jie Zheng
The MRI community is using quantitative mapping techniques to complement qualitative imaging. For quantitative imaging to reach its full potential, it is

Accuracy, repeatability and interplatform reproducibility measurements of T1 quantification methods used for DCE-MRI: results from a multicenter phantom study.

Octavia Bane, Stefanie J. Hectors, Mathilde Wagner, Lori L. Arlinghaus, Madhava P. Aryal, Yue Cao, Thomas L. Chenevert, Fiona Fennessy, Wei Huang, Nola M. Hylton, Jayashree Kalpathy-Cramer, Kathryn E. Keenan, Dariya I. Malyarenko, Robert V. Mulkern, David C. Newitt, Stephen E. Russek, Karl F. Stupic, Michael A. Boss
Purpose: To determine the in vitro accuracy, test-retest repeatability, and interplatform reproducibility of T1 quantification protocols used for dynamic
Created August 1, 2019