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dc.contributor.authorGoodburn, RJ
dc.contributor.authorBarrett, T
dc.contributor.authorPatterson, I
dc.contributor.authorGallagher, FA
dc.contributor.authorLawrence, EM
dc.contributor.authorGnanapragasam, VJ
dc.contributor.authorKastner, C
dc.contributor.authorPriest, AN
dc.date.accessioned2019-12-06T15:47:05Z
dc.date.issued2020-06
dc.identifier.citationMagnetic resonance in medicine, 2020, 83 (6), pp. 2243 - 2252
dc.identifier.issn0740-3194
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3450
dc.identifier.eissn1522-2594
dc.identifier.doi10.1002/mrm.28080
dc.description.abstractPurpose To compare prostate diffusional kurtosis imaging (DKI) metrics generated using phase-corrected real data with those generated using magnitude data with and without noise compensation (NC).Methods Diffusion-weighted images were acquired at 3T in 16 prostate cancer patients, measuring 6 b-values (0-1500 s/mm 2 ), each acquired with 6 signal averages along 3 diffusion directions, with noise-only images acquired to allow NC. In addition to conventional magnitude averaging, phase-corrected real data were averaged in an attempt to reduce rician noise-bias, with a range of phase-correction low-pass filter (LPF) sizes (8-128 pixels) tested. Each method was also tested using simulations. Pixelwise maps of apparent diffusion (D) and apparent kurtosis (K) were calculated for magnitude data with and without NC and phase-corrected real data. Average values were compared in tumor, normal transition zone (NTZ), and normal peripheral zone (NPZ).Results Simulations indicated LPF size can strongly affect K metrics, where 64-pixel LPFs produced accurate metrics. Relative to metrics estimated from magnitude data without NC, median NC K were lower (P < 0.0001) by 6/11/8% in tumor/NPZ/NTZ, 64-LPF real-data K were lower (P < 0.0001) by 4/10/7%, respectively.Conclusion Compared with magnitude data with NC, phase-corrected real data can produce similar K, although the choice of phase-correction LPF should be chosen carefully.
dc.formatPrint-Electronic
dc.format.extent2243 - 2252
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleRemoving rician bias in diffusional kurtosis of the prostate using real-data reconstruction.
dc.typeJournal Article
dcterms.dateAccepted2019-10-23
rioxxterms.versionofrecord10.1002/mrm.28080
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2020-06
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfMagnetic resonance in medicine
pubs.issue6
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 Imaging in Radiotherapy
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/19/20 Starting Cohort
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 Imaging in Radiotherapy
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/19/20 Starting Cohort
pubs.publication-statusPublished
pubs.volume83
pubs.embargo.termsNot known
icr.researchteamMagnetic Resonance Imaging in Radiotherapyen_US
dc.contributor.icrauthorGoodburn, Rosieen


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