dc.contributor.author | Freedman, JN | |
dc.contributor.author | Collins, DJ | |
dc.contributor.author | Gurney-Champion, OJ | |
dc.contributor.author | McClelland, JR | |
dc.contributor.author | Nill, S | |
dc.contributor.author | Oelfke, U | |
dc.contributor.author | Leach, MO | |
dc.contributor.author | Wetscherek, A | |
dc.date.accessioned | 2018-06-06T09:15:25Z | |
dc.date.issued | 2018-12-01 | |
dc.identifier.citation | Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2018, 129 (3), pp. 486 - 493 | |
dc.identifier.issn | 0167-8140 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/1728 | |
dc.identifier.eissn | 1879-0887 | |
dc.identifier.doi | 10.1016/j.radonc.2018.05.015 | |
dc.description.abstract | BACKGROUND AND PURPOSE: The superior soft-tissue contrast of 4D-T2w MRI motivates its use for delineation in radiotherapy treatment planning. We address current limitations of slice-selective implementations, including thick slices and artefacts originating from data incompleteness and variable breathing. MATERIALS AND METHODS: A method was developed to calculate midposition and 4D-T2w images of the whole thorax from continuously acquired axial and sagittal 2D-T2w MRI (1.5 × 1.5 × 5.0 mm3). The method employed image-derived respiratory surrogates, deformable image registration and super-resolution reconstruction. Volunteer imaging and a respiratory motion phantom were used for validation. The minimum number of dynamic acquisitions needed to calculate a representative midposition image was investigated by retrospectively subsampling the data (10-30 dynamic acquisitions). RESULTS: Super-resolution 4D-T2w MRI (1.0 × 1.0 × 1.0 mm3, 8 respiratory phases) did not suffer from data incompleteness and exhibited reduced stitching artefacts compared to sorted multi-slice MRI. Experiments using a respiratory motion phantom and colour-intensity projection images demonstrated a minor underestimation of the motion range. Midposition diaphragm differences in retrospectively subsampled acquisitions were <1.1 mm compared to the full dataset. 10 dynamic acquisitions were found sufficient to generate midposition MRI. CONCLUSIONS: A motion-modelling and super-resolution method was developed to calculate high quality 4D/midposition T2w MRI from orthogonal 2D-T2w MRI. | |
dc.format | Print-Electronic | |
dc.format.extent | 486 - 493 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | ELSEVIER IRELAND LTD | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Humans | |
dc.subject | Imaging, Three-Dimensional | |
dc.subject | Retrospective Studies | |
dc.subject | Phantoms, Imaging | |
dc.subject | Magnetic Resonance Imaging, Interventional | |
dc.subject | Radiotherapy, Image-Guided | |
dc.title | Super-resolution T2-weighted 4D MRI for image guided radiotherapy. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2018-05-14 | |
rioxxterms.versionofrecord | 10.1016/j.radonc.2018.05.015 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2018-12 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology | |
pubs.issue | 3 | |
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/Magnetic Resonance | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling | |
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/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling | |
pubs.publication-status | Published | |
pubs.volume | 129 | |
pubs.embargo.terms | Not known | |
icr.researchteam | Magnetic Resonance | |
icr.researchteam | Radiotherapy Physics Modelling | |
dc.contributor.icrauthor | Freedman, Joshua | |
dc.contributor.icrauthor | Collins, David | |
dc.contributor.icrauthor | Gurney-Champion, Oliver | |
dc.contributor.icrauthor | Nill, Simeon | |
dc.contributor.icrauthor | Leach, Martin | |
dc.contributor.icrauthor | Wetscherek, Andreas | |