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dc.contributor.authorCheng, L
dc.contributor.authorBlackledge, MD
dc.contributor.authorCollins, DJ
dc.contributor.authorOrton, MR
dc.contributor.authorJerome, NP
dc.contributor.authorFeiweier, T
dc.contributor.authorRata, M
dc.contributor.authorMorgan, V
dc.contributor.authorTunariu, N
dc.contributor.authorLeach, MO
dc.contributor.authorKoh, D-M
dc.date.accessioned2016-10-27T09:02:20Z
dc.date.issued2016-12-01
dc.identifier.citationComputers in biology and medicine, 2016, 79 pp. 92 - 98
dc.identifier.issn0010-4825
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/193
dc.identifier.eissn1879-0534
dc.identifier.doi10.1016/j.compbiomed.2016.09.022
dc.description.abstractPURPOSE: To introduce T2-adjusted computed DWI (T2-cDWI), a method that provides synthetic images at arbitrary b-values and echo times (TEs) that improve tissue contrast by removing or increasing T2 contrast in diffusion-weighted images. MATERIALS AND METHODS: In addition to the standard DWI acquisition protocol T2-weighted echo-planar images at multiple (≥2) echo times were acquired. This allows voxelwise estimation of apparent diffusion coefficient (ADC) and T2 values, permitting synthetic images to be generated at any chosen b-value and echo time. An analytical model is derived for the noise properties in T2-cDWI, and validated using a diffusion test-object. Furthermore, we present T2-cDWI in two example clinical case studies: (i) a patient with mesothelioma demonstrating multiple disease tissue compartments and (ii) a patient with primary ovarian cancer demonstrating solid and cystic disease compartments. RESULTS: Measured image noise in T2-cDWI from phantom experiments conformed to the analytical model and demonstrated that T2-cDWI at high computed b-value/TE combinations achieves lower noise compared with conventional DWI. In patients, T2-cDWI with low b-value and long TE enhanced fluid signal while suppressing solid tumour components. Conversely, large b-values and short TEs overcome T2 shine-through effects and increase the contrast between tumour and fluid compared with conventional high-b-value DW images. CONCLUSION: T2-cDWI is a promising clinical tool for improving image signal-to-noise, image contrast, and tumour detection through suppression of T2 shine-through effects.
dc.formatPrint-Electronic
dc.format.extent92 - 98
dc.languageeng
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.subjectHumans
dc.subjectNeoplasms
dc.subjectDiffusion Magnetic Resonance Imaging
dc.subjectPhantoms, Imaging
dc.subjectImage Processing, Computer-Assisted
dc.subjectMiddle Aged
dc.subjectFemale
dc.subjectMale
dc.titleT2-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisation.
dc.typeJournal Article
dcterms.dateAccepted2016-09-30
rioxxterms.versionofrecord10.1016/j.compbiomed.2016.09.022
rioxxterms.licenseref.startdate2016-12
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfComputers in biology and medicine
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/Computational Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance
pubs.organisational-group/ICR/Primary Group/Royal Marsden Clinical Units
pubs.publication-statusPublished
pubs.volume79
pubs.embargo.termsNot known
icr.researchteamComputational Imaging
icr.researchteamMagnetic Resonance
dc.contributor.icrauthorBlackledge, Matthew
dc.contributor.icrauthorCollins, David
dc.contributor.icrauthorLeach, Martin


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