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dc.contributor.authorSchmidt, MA
dc.date.accessioned2018-07-25T10:05:27Z
dc.date.issued2011-09-21
dc.identifier18
dc.identifier.citationPHYSICS IN MEDICINE AND BIOLOGY, 2011, 56 pp. N195 - N205
dc.identifier.issn0031-9155
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2128
dc.identifier.doi10.1088/0031-9155/56/18/N02
dc.description.abstractThis work investigates and compares two different phase-correction algorithms for Dixon fat-water separation and two different quality maps (QM) for region-growing: the original QM, based on phase gradients, and a QM based on phase uncertainty, proposed in this article. A spoiled dual-gradient-echo sequence was employed at 1.5 T to acquire in-phase and out-of-phase images of joints, parotid glands, abdomen and test objects. All 97 datasets were processed eight times each: with two different phase correction algorithms (original and hierarchical phase correction), with two different QM, and with/without removing linear component of the phase drifts associated with dual-echo acquisitions and bipolar readout gradient waveforms. The linear component of the phase drift along the readout direction was found to reach 4.1 degrees pixel(-1), depending on the geometric parameters. Pre-processing to remove linear phase shifts has little impact on outcome. The hierarchic phase-correction algorithm outperformed the original phase-correction algorithm in all applications. The proposed phase-uncertainty QM provides a small performance improvement in clinical images, but can be vulnerable to flow-related phase shifts in bright vessels. Overall the most successful phase-correction technique employed phase-uncertainty QMs and hierarchic algorithms, with pre-processing to correct the linear phase drift associated with dual-echo acquisitions and bipolar readout gradient waveform.
dc.format.extentN195 - N205
dc.languageeng
dc.language.isoeng
dc.publisherIOP PUBLISHING LTD
dc.titlePhase-uncertainty quality map for two-point Dixon fat-water separation
dc.typeJournal Article
rioxxterms.versionofrecord10.1088/0031-9155/56/18/N02
rioxxterms.licenseref.startdate2011-09-21
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfPHYSICS IN MEDICINE AND BIOLOGY
pubs.notesaffiliation: Schmidt, MA (Reprint Author), Canc Res UK, Sutton SM2 5PT, Surrey, England. Schmidt, Maria A., Canc Res UK, Sutton SM2 5PT, Surrey, England. Schmidt, Maria A., Royal Marsden NHS Fdn Trust, EPSRC Canc Imaging Ctr, Sutton SM2 5PT, Surrey, England. Schmidt, Maria A., Inst Canc Res, Sutton SM2 5PT, Surrey, England. keywords-plus: ALGORITHM; IMAGES; MRI research-areas: Engineering; Radiology, Nuclear Medicine & Medical Imaging web-of-science-categories: Engineering, Biomedical; Radiology, Nuclear Medicine & Medical Imaging author-email: [email protected] orcid-numbers: Schmidt, Maria/0000-0001-8993-5301 number-of-cited-references: 19 times-cited: 2 usage-count-last-180-days: 0 usage-count-since-2013: 9 journal-iso: Phys. Med. Biol. doc-delivery-number: 818WT unique-id: ISI:000294787300002 da: 2018-07-25
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance
pubs.volume56
pubs.embargo.termsNot known
icr.researchteamMagnetic Resonanceen_US
dc.contributor.icrauthorSchmidt, Mariaen


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