Impact of software modeling on the accuracy of perfusion MRI in glioma

Journal article

Peer reviewed

L. S. Hu, Z. Kelm, P. Korfiatis, A. C. Dueck, C. Elrod, B. M. Ellingson, T. J. Kaufmann, J. M. Eschbacher, J. P. Karis, K. Smith, …

American journal of neuroradiology : AJNR, Vol.36(12), pp.2242-2249

12/01/2015

PMID: 26359151

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Title: Impact of software modeling on the accuracy of perfusion MRI in glioma
Creators: L. S. Hu - Mayo Clinic in Arizona
Z. Kelm - Mayo Clinic
P. Korfiatis - Mayo Clinic
A. C. Dueck - Mayo Clinic in Arizona
C. Elrod - Center for Innovation
B. M. Ellingson - University of California, Los Angeles
T. J. Kaufmann - Mayo Clinic
J. M. Eschbacher - Neurology, Inc
J. P. Karis - Center for Innovation
K. Smith - Barrow Neurological Institute
P. Nakaji - Barrow Neurological Institute
D. Brinkman - Mayo Clinic
D. Pafundi - Mayo Clinic
L. C. Baxter - Center for Innovation
B. J. Erickson - Mayo Clinic
Publication Details: American journal of neuroradiology : AJNR, Vol.36(12), pp.2242-2249
Number of pages: 8
Grant note: NS 082609-01 / National Institutes of Health CA 01-16045; NS 082609-01 / National Institutes of Health National Institute of Neurological Disorders and Stroke (http://data.elsevier.com/vocabulary/SciValFunders/100000065) R21NS082609 / National Institute of Neurological Disorders and Stroke (http://data.elsevier.com/vocabulary/SciValFunders/100000065) CA 01-16045 / National Institutes of Health
Identifiers: 991006263787602656
Academic Unit: Pathology
Language: English
Resource Type: Journal article