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dc.contributor.authorMenten, MJen_US
dc.contributor.authorFast, MFen_US
dc.contributor.authorWetscherek, Aen_US
dc.contributor.authorRank, CMen_US
dc.contributor.authorKachelrieß, Men_US
dc.contributor.authorCollins, DJen_US
dc.contributor.authorNill, Sen_US
dc.contributor.authorOelfke, Uen_US
dc.coverage.spatialEnglanden_US
dc.date.accessioned2018-12-17T11:29:38Z
dc.date.accessioned2019-02-28T11:46:36Z
dc.date.issued2018-11-22en_US
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/30465542en_US
dc.identifier.citationPhys Med Biol, 2018, 63 (23), pp. 235005 - ?en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3108
dc.identifier.eissn1361-6560en_US
dc.identifier.doi10.1088/1361-6560/aae74den_US
dc.description.abstract2D cine MR imaging may be utilized to monitor rapidly moving tumors and organs-at-risk for real-time adaptive radiotherapy. This study systematically investigates the impact of geometric imaging parameters on the ability of 2D cine MR imaging to guide template-matching-driven autocontouring of lung tumors and abdominal organs. Abdominal 4D MR images were acquired of six healthy volunteers and thoracic 4D MR images were obtained of eight lung cancer patients. At each breathing phase of the images, the left kidney and gallbladder or lung tumor, respectively, were outlined as volumes of interest. These images and contours were used to create artificial 2D cine MR images, while simultaneously serving as 3D ground truth. We explored the impact of five different imaging parameters (pixel size, slice thickness, imaging plane orientation, number and relative alignment of images as well as strategies to create training images). For each possible combination of imaging parameters, we generated artificial 2D cine MR images as training and test images. A template-matching algorithm used the training images to determine the tumor or organ position in the test images. Subsequently, a 3D base contour was shifted to the determined position and compared to the ground truth via centroid distance and Dice similarity coefficient. The median centroid distance between adapted and ground truth contours was 1.56 mm for the kidney, 3.81 mm for the gallbladder and 1.03 mm for the lung tumor (median Dice similarity coefficient: 0.95, 0.72 and 0.93). We observed that a decrease in image resolution led to a modest decrease in localization accuracy, especially for the small gallbladder. However, for all volumes of interest localization accuracy varied substantially more between subjects than due to the different imaging parameters. Automated tumor and organ localization using 2D cine MR imaging and template-matching-based autocontouring is robust against variation of geometric imaging parameters. Future work and optimization efforts of 2D cine MR imaging for real-time adaptive radiotherapy is needed to characterize the influence of sequence- and anatomical site-specific imaging contrast.en_US
dc.format.extent235005 - ?en_US
dc.languageengen_US
dc.language.isoengen_US
dc.relation.replaceshttps://repository.icr.ac.uk/handle/internal/2975
dc.relation.replacesinternal/2975
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleThe impact of 2D cine MR imaging parameters on automated tumor and organ localization for MR-guided real-time adaptive radiotherapy.en_US
dc.typeJournal Article
dcterms.dateAccepted2018-10-10en_US
rioxxterms.versionofrecord10.1088/1361-6560/aae74den_US
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0en_US
rioxxterms.licenseref.startdate2018-11-22en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfPhys Med Biolen_US
pubs.issue23en_US
pubs.notesNo embargoen_US
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/Radiotherapy Physics Modelling
pubs.publication-statusPublished onlineen_US
pubs.volume63en_US
pubs.embargo.termsNo embargoen_US
icr.researchteamRadiotherapy Physics Modellingen_US
dc.contributor.icrauthorOelfke, Uween_US
dc.contributor.icrauthorNill, Simeonen_US
dc.contributor.icrauthorMenten, Martinen_US
dc.contributor.icrauthorMenten, Martinen_US
dc.contributor.icrauthorWetscherek, Andreasen_US


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