An approach to identify, from DCE MRI, significant subvolumes of tumors related to outcomes in advanced head‐and‐neck cancera)
dc.contributor.author | Wang, Peng | |
dc.contributor.author | Popovtzer, Aron | |
dc.contributor.author | Eisbruch, Avraham | |
dc.contributor.author | Cao, Yue | |
dc.date.accessioned | 2017-01-06T20:47:20Z | |
dc.date.available | 2017-01-06T20:47:20Z | |
dc.date.issued | 2012-08 | |
dc.identifier.citation | Wang, Peng; Popovtzer, Aron; Eisbruch, Avraham; Cao, Yue (2012). "An approach to identify, from DCE MRI, significant subvolumes of tumors related to outcomes in advanced head‐and‐neck cancera)." Medical Physics 39(8): 5277-5285. | |
dc.identifier.issn | 0094-2405 | |
dc.identifier.issn | 2473-4209 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/134885 | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.publisher | American Association of Physicists in Medicine | |
dc.subject.other | radiation therapy | |
dc.subject.other | head‐and‐neck cancers | |
dc.subject.other | blood volume | |
dc.subject.other | DCE MRI | |
dc.subject.other | functional imaging biomarker | |
dc.subject.other | Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging | |
dc.subject.other | Radiation therapy | |
dc.subject.other | Digital computing or data processing equipment or methods, specially adapted for specific applications | |
dc.subject.other | Cancer | |
dc.subject.other | Medical imaging | |
dc.subject.other | Magnetic resonance imaging | |
dc.subject.other | Cluster analysis | |
dc.subject.other | Positron emission tomography | |
dc.subject.other | Dosimetry | |
dc.subject.other | Radiation treatment | |
dc.subject.other | Image analysis | |
dc.subject.other | Failure analysis | |
dc.subject.other | Data analysis | |
dc.subject.other | biomedical MRI | |
dc.subject.other | Magnetic resonance imaging | |
dc.subject.other | Fluid transport and rheology | |
dc.subject.other | Hemodynamics | |
dc.subject.other | Treatment strategy | |
dc.subject.other | Computer‐aided diagnosis | |
dc.subject.other | cancer | |
dc.subject.other | dosimetry | |
dc.subject.other | haemodynamics | |
dc.subject.other | haemorheology | |
dc.subject.other | medical computing | |
dc.title | An approach to identify, from DCE MRI, significant subvolumes of tumors related to outcomes in advanced head‐and‐neck cancera) | |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Medicine (General) | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.contributor.affiliationum | Department of Radiation Oncology and Department of Radiology, University of Michigan, Ann Arbor, Michigan 48103 | |
dc.contributor.affiliationum | Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48103 | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/134885/1/mp7022.pdf | |
dc.identifier.doi | 10.1118/1.4737022 | |
dc.identifier.source | Medical Physics | |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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