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Quantification of liver function by linearization of a two‐compartment model of gadoxetic acid uptake using dynamic contrast‐enhanced magnetic resonance imaging
dc.contributor.authorSimeth, Josiah
dc.contributor.authorJohansson, Adam
dc.contributor.authorOwen, Dawn
dc.contributor.authorCuneo, Kyle
dc.contributor.authorMierzwa, Michelle
dc.contributor.authorFeng, Mary
dc.contributor.authorLawrence, Theodore S.
dc.contributor.authorCao, Yue
dc.date.accessioned2018-06-11T17:59:02Z
dc.date.available2019-08-01T19:53:22Zen
dc.date.issued2018-06
dc.identifier.citationSimeth, Josiah; Johansson, Adam; Owen, Dawn; Cuneo, Kyle; Mierzwa, Michelle; Feng, Mary; Lawrence, Theodore S.; Cao, Yue (2018). "Quantification of liver function by linearization of a two‐compartment model of gadoxetic acid uptake using dynamic contrast‐enhanced magnetic resonance imaging." NMR in Biomedicine 31(6): n/a-n/a.
dc.identifier.issn0952-3480
dc.identifier.issn1099-1492
dc.identifier.urihttps://hdl.handle.net/2027.42/144228
dc.publisherWiley Periodicals, Inc.
dc.publisherSpringer US
dc.subject.otherhepatobiliary contrast
dc.subject.otherimaging informed treatment planning
dc.subject.otherliver function
dc.subject.otherquantitative imaging
dc.subject.otherGd chelate based contrast agents
dc.subject.otherDCE‐MRI
dc.titleQuantification of liver function by linearization of a two‐compartment model of gadoxetic acid uptake using dynamic contrast‐enhanced magnetic resonance imaging
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPhysics
dc.subject.hlbsecondlevelElectrical Engineering
dc.subject.hlbtoplevelEngineering
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/144228/1/nbm3913.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/144228/2/nbm3913_am.pdf
dc.identifier.doi10.1002/nbm.3913
dc.identifier.sourceNMR in Biomedicine
dc.identifier.citedreferenceWang H, Feng M, Frey KA, Ten Haken RK, Lawrence TS, Cao Y. Predictive models for regional hepatic function based upon 99m Tc‐IDA SPECT and local radiation dose for physiological adaptive RT. Int J Radiat Oncol Biol Phys. 2013; 86 ( 5 ): 1000 ‐ 1006.
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dc.identifier.citedreferenceArmbruster M, Zech CJ, Sourbron S, et al. Diagnostic accuracy of dynamic gadoxetic‐acid‐enhanced MRI and PET/CT compared in patients with liver metastases from neuroendocrine neoplasms. J Magn Reson Imaging. 2014; 40 ( 2 ): 457 ‐ 466.
dc.identifier.citedreferenceChandarana H, Block TK, Ream J, et al. Estimating liver perfusion from free‐breathing continuously acquired dynamic gadolinium‐ethoxybenzyl‐diethylenetriamine pentaacetic acid‐enhanced acquisition with compressed sensing reconstruction. Invest Radiol. 2015; 50 ( 2 ): 88 ‐ 94.
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dc.identifier.citedreferenceYoneyama T, Fukukura Y, Kamimura K, et al. Efficacy of liver parenchymal enhancement and liver volume to standard liver volume ratio on Gd‐EOB‐DTPA‐enhanced MRI for estimation of liver function. Eur Radiol. 2014; 24 ( 4 ): 857 ‐ 865.
dc.identifier.citedreferenceJohansson A, Balter J, Feng M, Cao Y. An overdetermined system of transform equations in support of robust DCE‐MRI registration with outlier rejection. Tomography: J Imaging Res. 2016; 2 ( 3 ): 188 ‐ 196.
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dc.identifier.citedreferenceJohnson PJ, Berhane S, Kagebayashi C, et al. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence‐based approach—the ALBI grade. J Clin Oncol. 2015; 33 ( 6 ): 550 ‐ 558.
dc.identifier.citedreferenceWu VW, Epelman MA, Wang H, et al. Optimizing global liver function in radiation therapy treatment planning. Phys Med Biol. 2016; 61 ( 17 ): 6465 ‐ 6484.
dc.identifier.citedreferenceBennink RJ, Cieslak KP, van Delden OM, et al. Monitoring of total and regional liver function after SIRT. Front Oncol. 2014; 4.
dc.identifier.citedreferenceSørensen M, Mikkelsen KS, Frisch K, Villadsen GE, Keiding S. Regional metabolic liver function measured by 2‐[ 18 F]fluoro‐2‐deoxy‐ d ‐galactose PET/CT in patients with cirrhosis. J Hepatol. 2013; 58 ( 6 ): 1119 ‐ 1124.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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