Kathryn E. Keenan
National Institute of Standards and Technology
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Publication
Featured researches published by Kathryn E. Keenan.
Magnetic Resonance in Medicine | 2017
Yun Jiang; Dan Ma; Kathryn E. Keenan; Karl F. Stupic; Vikas Gulani; Mark A. Griswold
The purpose of this study was to evaluate accuracy and repeatability of T1 and T2 estimates of a MR fingerprinting (MRF) method using the ISMRM/NIST MRI system phantom.
Magnetic Resonance in Medicine | 2018
Kathryn E. Keenan; Maureen Ainslie; Alex J. Barker; Michael A. Boss; Kim M. Cecil; Cecil Charles; Thomas L. Chenevert; Larry Clarke; Jeffrey L. Evelhoch; Paul J Finn; Daniel Gembris; Jeffrey L. Gunter; Derek L. G. Hill; Clifford R. Jack; Edward F. Jackson; Guoying Liu; Stephen E. Russek; Samir D. Sharma; Michael Steckner; 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 necessary to analyze measurements across systems and longitudinally. Clinical use of quantitative imaging can be facilitated through adoption and use of a standard system phantom, a calibration/standard reference object, to assess the performance of an MRI machine. The International Society of Magnetic Resonance in Medicine AdHoc Committee on Standards for Quantitative Magnetic Resonance was established in February 2007 to facilitate the expansion of MRI as a mainstream modality for multi‐institutional measurements, including, among other things, multicenter trials. The goal of the Standards for Quantitative Magnetic Resonance committee was to provide a framework to ensure that quantitative measures derived from MR data are comparable over time, between subjects, between sites, and between vendors. This paper, written by members of the Standards for Quantitative Magnetic Resonance committee, reviews standardization attempts and then details the need, requirements, and implementation plan for a standard system phantom for quantitative MRI. In addition, application‐specific phantoms and implementation of quantitative MRI are reviewed. Magn Reson Med 79:48–61, 2018.
Journal of Magnetic Resonance Imaging | 2016
Kathryn E. Keenan; Lisa J. Wilmes; Sheye O. Aliu; David C. Newitt; Ella F. Jones; Michael A. Boss; Karl F. Stupic; Stephen E. Russek; Nola M. Hylton
We present a breast phantom designed to enable quantitative assessment of measurements of T1 relaxation time, apparent diffusion coefficient (ADC), and other attributes of breast tissue, with long‐term support from a national metrology institute.
Journal of Magnetic Resonance Imaging | 2016
Kathryn E. Keenan; Adele P. Peskin; Lisa J. Wilmes; Sheye O. Aliu; Ella F. Jones; Wen Li; John Kornak; David C. Newitt; Nola M. Hylton
To assess the ability of a recent, anatomically designed breast phantom incorporating T1 and diffusion elements to serve as a quality control device for quantitative comparison of apparent diffusion coefficient (ADC) measurements calculated from diffusion‐weighted MRI (DWI) within and across MRI systems.
Magnetic Resonance in Medicine | 2018
Octavia Bane; Stefanie J. C. G. Hectors; Mathilde Wagner; Lori L. Arlinghaus; Madhava P. Aryal; Yue Cao; Thomas L. Chenevert; Fiona M. 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; Alina Tudorica; Lisa J. Wilmes; Thomas E. Yankeelov; Yi Fei Yen; Michael A. Boss
To determine the in vitro accuracy, test‐retest repeatability, and interplatform reproducibility of T1 quantification protocols used for dynamic contrast‐enhanced MRI at 1.5 and 3 T.
AIP Advances | 2017
Hannah Erdevig; Stephen E. Russek; Slavka Carnicka; Karl F. Stupic; Kathryn E. Keenan
Magnetic Resonance Imaging (MRI) is increasingly used to map the magnetic susceptibility of tissue to identify cerebral microbleeds associated with traumatic brain injury and pathological iron deposits associated with neurodegenerative diseases such as Parkinson’s and Alzheimer’s disease. Accurate measurements of susceptibility are important for determining oxygen and iron content in blood vessels and brain tissue for use in noninvasive clinical diagnosis and treatment assessments. Induced magnetic fields with amplitude on the order of 100 nT, can be detected using MRI phase images. The induced field distributions can then be inverted to obtain quantitative susceptibility maps. The focus of this research was to determine the accuracy of MRI-based susceptibility measurements using simple phantom geometries and to compare the susceptibility measurements with magnetometry measurements where SI-traceable standards are available. The susceptibilities of paramagnetic salt solutions in cylindrical containers wer...
Scientific Reports | 2018
Xiaolu Yin; Stephen E. Russek; Gary Zabow; Fan Sun; Jeotikanta Mohapatra; Kathryn E. Keenan; Michael A. Boss; Hao Zeng; J. Ping Liu; Alexandrea Viert; Sy_Hwang Liou; John M. Moreland
A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.
Journal of Cardiovascular Magnetic Resonance | 2016
Gabriella Captur; Peter D. Gatehouse; Kathryn E. Keenan; Friso Heslinga; Ruediger Bruehl; Marcel Prothmann; Martin J. Graves; Richard J. Eames; Camilla Torlasco; Giulia Benedetti; Jacqueline Donovan; Bernd Ittermann; Redha Boubertakh; Andrew Bathgate; Celine Royet; Wenjie Pang; Reza Nezafat; Michael Salerno; Peter Kellman; James C. Moon
ISMRM 24th Annual Meeting | 2016
Kathryn E. Keenan; Karl F. Stupic; Michael A. Boss; Stephen E. Russek; Thomas L. Chenevert; Pottumarthi V. Prasad; Wilburn E. Reddick; Jie Zheng; Peng Hu; Edward F. Jackson
Special Publication (NIST SP) - 250-97 | 2018
Michael A. Boss; Andrew M Dienstfrey; Zydrunas Gimbutas; Kathryn E. Keenan; Anthony B. Kos; Jolene D Splett; Karl F. Stupic; Stephen E. Russek