dc.contributor.author | Guerreiro, F | |
dc.contributor.author | Burgos, N | |
dc.contributor.author | Dunlop, A | |
dc.contributor.author | Wong, K | |
dc.contributor.author | Petkar, I | |
dc.contributor.author | Nutting, C | |
dc.contributor.author | Harrington, K | |
dc.contributor.author | Bhide, S | |
dc.contributor.author | Newbold, K | |
dc.contributor.author | Dearnaley, D | |
dc.contributor.author | deSouza, NM | |
dc.contributor.author | Morgan, VA | |
dc.contributor.author | McClelland, J | |
dc.contributor.author | Nill, S | |
dc.contributor.author | Cardoso, MJ | |
dc.contributor.author | Ourselin, S | |
dc.contributor.author | Oelfke, U | |
dc.contributor.author | Knopf, AC | |
dc.date.accessioned | 2017-03-24T14:04:06Z | |
dc.date.issued | 2017-03-01 | |
dc.identifier.citation | Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2017, 35 pp. 7 - 17 | |
dc.identifier.issn | 1120-1797 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/493 | |
dc.identifier.eissn | 1724-191X | |
dc.identifier.doi | 10.1016/j.ejmp.2017.02.017 | |
dc.description.abstract | BACKGROUND AND PURPOSE: Computed tomography (CT) imaging is the current gold standard for radiotherapy treatment planning (RTP). The establishment of a magnetic resonance imaging (MRI) only RTP workflow requires the generation of a synthetic CT (sCT) for dose calculation. This study evaluates the feasibility of using a multi-atlas sCT synthesis approach (sCTa) for head and neck and prostate patients. MATERIAL AND METHODS: The multi-atlas method was based on pairs of non-rigidly aligned MR and CT images. The sCTa was obtained by registering the MRI atlases to the patient's MRI and by fusing the mapped atlases according to morphological similarity to the patient. For comparison, a bulk density assignment approach (sCTbda) was also evaluated. The sCTbda was obtained by assigning density values to MRI tissue classes (air, bone and soft-tissue). After evaluating the synthesis accuracy of the sCTs (mean absolute error), sCT-based delineations were geometrically compared to the CT-based delineations. Clinical plans were re-calculated on both sCTs and a dose-volume histogram and a gamma analysis was performed using the CT dose as ground truth. RESULTS: Results showed that both sCTs were suitable to perform clinical dose calculations with mean dose differences less than 1% for both the planning target volume and the organs at risk. However, only the sCTa provided an accurate and automatic delineation of bone. CONCLUSIONS: Combining MR delineations with our multi-atlas CT synthesis method could enable MRI-only treatment planning and thus improve the dosimetric and geometric accuracy of the treatment, and reduce the number of imaging procedures. | |
dc.format | Print-Electronic | |
dc.format.extent | 7 - 17 | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | ELSEVIER SCI LTD | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | |
dc.subject | Humans | |
dc.subject | Oropharyngeal Neoplasms | |
dc.subject | Prostatic Neoplasms | |
dc.subject | Tomography, X-Ray Computed | |
dc.subject | Magnetic Resonance Imaging | |
dc.subject | Radiotherapy Dosage | |
dc.subject | Radiotherapy Planning, Computer-Assisted | |
dc.subject | Retrospective Studies | |
dc.subject | Feasibility Studies | |
dc.subject | Algorithms | |
dc.subject | Male | |
dc.subject | Radiotherapy, Intensity-Modulated | |
dc.subject | Atlases as Topic | |
dc.title | Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2017-02-14 | |
rioxxterms.versionofrecord | 10.1016/j.ejmp.2017.02.017 | |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0 | |
rioxxterms.licenseref.startdate | 2017-03 | |
rioxxterms.type | Journal Article/Review | |
dc.relation.isPartOf | Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) | |
pubs.notes | No embargo | |
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/Cancer Biology | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Cancer Biology/Targeted Therapy | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams/Clinical Academic Radiotherapy (Dearnaley) | |
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/Primary Group/ICR Divisions/Radiotherapy and Imaging/Targeted Therapy | |
pubs.organisational-group | /ICR/Primary Group/Royal Marsden Clinical Units | |
pubs.publication-status | Published | |
pubs.volume | 35 | |
pubs.embargo.terms | No embargo | |
icr.researchteam | Clinical Academic Radiotherapy (Dearnaley) | |
icr.researchteam | Magnetic Resonance | |
icr.researchteam | Radiotherapy Physics Modelling | |
icr.researchteam | Targeted Therapy | |
dc.contributor.icrauthor | Harrington, Kevin | |
dc.contributor.icrauthor | Bhide, Shreerang | |
dc.contributor.icrauthor | Dearnaley, David | |
dc.contributor.icrauthor | deSouza, Nandita | |
dc.contributor.icrauthor | Nill, Simeon | |