dc.contributor.author | Cheng, L | |
dc.contributor.author | Blackledge, MD | |
dc.contributor.author | Collins, DJ | |
dc.contributor.author | Orton, MR | |
dc.contributor.author | Jerome, NP | |
dc.contributor.author | Feiweier, T | |
dc.contributor.author | Rata, M | |
dc.contributor.author | Morgan, V | |
dc.contributor.author | Tunariu, N | |
dc.contributor.author | Leach, MO | |
dc.contributor.author | Koh, D-M | |
dc.date.accessioned | 2016-10-27T09:02:20Z | |
dc.date.issued | 2016-12-01 | |
dc.identifier.citation | Computers in biology and medicine, 2016, 79 pp. 92 - 98 | |
dc.identifier.issn | 0010-4825 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/193 | |
dc.identifier.eissn | 1879-0534 | |
dc.identifier.doi | 10.1016/j.compbiomed.2016.09.022 | |
dc.description.abstract | PURPOSE: 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.format | Print-Electronic | |
dc.format.extent | 92 - 98 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | |
dc.subject | Humans | |
dc.subject | Neoplasms | |
dc.subject | Diffusion Magnetic Resonance Imaging | |
dc.subject | Phantoms, Imaging | |
dc.subject | Image Processing, Computer-Assisted | |
dc.subject | Middle Aged | |
dc.subject | Female | |
dc.subject | Male | |
dc.title | T2-adjusted computed diffusion-weighted imaging: A novel method to enhance tumour visualisation. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2016-09-30 | |
rioxxterms.versionofrecord | 10.1016/j.compbiomed.2016.09.022 | |
rioxxterms.licenseref.startdate | 2016-12 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Computers in biology and medicine | |
pubs.notes | Not 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-status | Published | |
pubs.volume | 79 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Computational Imaging | |
icr.researchteam | Magnetic Resonance | |
dc.contributor.icrauthor | Blackledge, Matthew | |
dc.contributor.icrauthor | Collins, David | |
dc.contributor.icrauthor | Leach, Martin | |