eprintid: 1543969
rev_number: 38
eprint_status: archive
userid: 608
dir: disk0/01/54/39/69
datestamp: 2017-03-05 05:09:51
lastmod: 2021-09-26 23:00:57
status_changed: 2019-10-07 13:06:11
type: article
metadata_visibility: show
creators_name: Guerreiro, F
creators_name: Burgos, N
creators_name: Dunlop, A
creators_name: Wong, K
creators_name: Petkar, I
creators_name: Nutting, C
creators_name: Harrington, K
creators_name: Bhide, S
creators_name: Newbold, K
creators_name: Dearnaley, D
creators_name: deSouza, NM
creators_name: Morgan, VA
creators_name: McClelland, J
creators_name: Nill, S
creators_name: Cardoso, MJ
creators_name: Ourselin, S
creators_name: Oelfke, U
creators_name: Knopf, AC
title: Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F42
keywords: MRI-only radiotherapy workflow, Multi-atlas approach, Synthetic CT
note: © 2017 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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.
date: 2017-03
date_type: published
official_url: http://dx.doi.org/10.1016/j.ejmp.2017.02.017
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1212049
doi: 10.1016/j.ejmp.2017.02.017
pii: S1120-1797(17)30045-5
lyricists_name: Burgos, Ninon
lyricists_name: Cardoso, Manuel
lyricists_name: McClelland, James
lyricists_name: Ourselin, Sebastien
lyricists_id: BURGO78
lyricists_id: MJMCA47
lyricists_id: JRMCC68
lyricists_id: SOURS59
full_text_status: public
publication: Physica Medica
volume: 35
pagerange: 7-17
event_location: Italy
issn: 1724-191X
citation:        Guerreiro, F;    Burgos, N;    Dunlop, A;    Wong, K;    Petkar, I;    Nutting, C;    Harrington, K;                                             ... Knopf, AC; + view all <#>        Guerreiro, F;  Burgos, N;  Dunlop, A;  Wong, K;  Petkar, I;  Nutting, C;  Harrington, K;  Bhide, S;  Newbold, K;  Dearnaley, D;  deSouza, NM;  Morgan, VA;  McClelland, J;  Nill, S;  Cardoso, MJ;  Ourselin, S;  Oelfke, U;  Knopf, AC;   - view fewer <#>    (2017)    Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning.                   Physica Medica , 35    pp. 7-17.    10.1016/j.ejmp.2017.02.017 <https://doi.org/10.1016/j.ejmp.2017.02.017>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1543969/7/Burgos%20VoR%201-s2.0-S1120179717300455-main.pdf