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dc.contributor.author
Giger, Alina
dc.contributor.author
Krieger, Miriam
dc.contributor.author
Jud, Christoph
dc.contributor.author
Duetschler, Alisha
dc.contributor.author
Salomir, Rares
dc.contributor.author
Bieri, Oliver
dc.contributor.author
Bauman, Grzegorz
dc.contributor.author
Nguyen, Damien
dc.contributor.author
Weber, Damien C.
dc.contributor.author
Lomax, Antony J.
dc.contributor.author
Zhang, Ye
dc.contributor.author
Cattin, Philippe C.
dc.date.accessioned
2021-01-08T11:52:46Z
dc.date.available
2021-01-08T03:44:50Z
dc.date.available
2021-01-08T11:50:58Z
dc.date.available
2021-01-08T11:52:46Z
dc.date.issued
2020-12-21
dc.identifier.issn
1361-6560
dc.identifier.issn
0031-9155
dc.identifier.other
10.1088/1361-6560/abaa26
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/460386
dc.description.abstract
Motion mitigation strategies are crucial for scanned particle therapy of mobile tumours in order to prevent geometrical target miss and interplay effects. We developed a patient-specific respiratory motion model based on simultaneously acquired time-resolved volumetric MRI and 2D abdominal ultrasound images. We present its effects on 4D pencil beam scanned treatment planning and simulated dose distributions. Given an ultrasound image of the liver and the diaphragm, principal component analysis and Gaussian process regression were applied to infer dense motion information of the lungs. 4D dose calculations for scanned proton therapy were performed using the estimated and the corresponding ground truth respiratory motion; the differences were compared by dose difference volume metrics. We performed this simulation study on 10 combined CT and 4DMRI data sets where the motion characteristics were extracted from 5 healthy volunteers and fused with the anatomical CT data of two lung cancer patients. Median geometrical estimation errors below 2 mm for all data sets and maximum dose differences of Vdiff > 5% = 43.2% and Vdiff > 10% = 16.3% were found. Moreover, it was shown that abdominal ultrasound imaging allows to monitor organ drift. This study demonstrated the feasibility of the proposed ultrasound-based motion modelling approach for its application in scanned proton therapy of lung tumours. (© 2020 Institute of Physics and Engineering in Medicine.)
en_US
dc.language.iso
en
en_US
dc.publisher
IOP Publishing
en_US
dc.title
Liver-ultrasound based motion modelling to estimate 4D dose distributions for lung tumours in scanned proton therapy
en_US
dc.type
Journal Article
ethz.journal.title
Physics in Medicine and Biology
ethz.journal.volume
65
en_US
ethz.journal.issue
23
en_US
ethz.journal.abbreviated
Phys. Med. & Biol.
ethz.pages.start
235050
en_US
ethz.size
12 p.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Bristol
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-01-08T03:44:56Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-01-08T11:51:07Z
ethz.rosetta.lastUpdated
2021-02-15T23:01:12Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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