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Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom
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| Veröffentlicht in: | Scientific reports Bd. 8.2018,1, Art.-Nr. 11004, insgesamt 9 Seiten |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , |
| Titel: | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom/ Daniel Schetelig, Jan Sedlacik, Jens Fiehler, Andreas Frölich, Tobias Knopp, Thilo Sothmann, Jonathan Waschkewitz, René Werner |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
2018
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| Gesamtaufnahme: |
: Scientific reports, Bd. 8.2018,1, Art.-Nr. 11004, insgesamt 9 Seiten
, volume:8 |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a Cardiac-cycle related pulsatile aneurysm motion and deformation is assumed to provide valuable information for assessing cerebral aneurysm rupture risk. Accordingly, numerous studies addressed quantification of cerebral aneurysm wall motion and deformation. Most of them utilized in vivo imaging data, but image-based aneurysm deformation quantification is subject to pronounced uncertainties: unknown ground-truth deformation; image resolution in the order of the expected deformation; direct interplay between contrast agent inflow and image intensity. To analyze the impact of the uncertainties on deformation quantification, a multi-imaging modality ground-truth phantom study is performed. A physical flow phantom was designed that allowed simulating pulsatile flow through a variety of modeled cerebral vascular structures. The phantom was imaged using different modalities [MRI, CT, 3D-RA] and mimicking physiologically realistic flow conditions. Resulting image data was analyzed by an established registration-based approach for automated wall motion quantification. The data reveals severe dependency between contrast media inflow-related image intensity changes and the extent of estimated wall deformation. The study illustrates that imaging-related uncertainties affect the accuracy of cerebral aneurysm deformation quantification, suggesting that in vivo imaging studies have to be accompanied by ground-truth phantom experiments to foster data interpretation and to prove plausibility of the applied image analysis algorithms. | ||
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| contents | Cardiac-cycle related pulsatile aneurysm motion and deformation is assumed to provide valuable information for assessing cerebral aneurysm rupture risk. Accordingly, numerous studies addressed quantification of cerebral aneurysm wall motion and deformation. Most of them utilized in vivo imaging data, but image-based aneurysm deformation quantification is subject to pronounced uncertainties: unknown ground-truth deformation; image resolution in the order of the expected deformation; direct interplay between contrast agent inflow and image intensity. To analyze the impact of the uncertainties on deformation quantification, a multi-imaging modality ground-truth phantom study is performed. A physical flow phantom was designed that allowed simulating pulsatile flow through a variety of modeled cerebral vascular structures. The phantom was imaged using different modalities [MRI, CT, 3D-RA] and mimicking physiologically realistic flow conditions. Resulting image data was analyzed by an established registration-based approach for automated wall motion quantification. The data reveals severe dependency between contrast media inflow-related image intensity changes and the extent of estimated wall deformation. The study illustrates that imaging-related uncertainties affect the accuracy of cerebral aneurysm deformation quantification, suggesting that in vivo imaging studies have to be accompanied by ground-truth phantom experiments to foster data interpretation and to prove plausibility of the applied image analysis algorithms. |
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| spelling | Schetelig, Daniel VerfasserIn aut, Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom Daniel Schetelig, Jan Sedlacik, Jens Fiehler, Andreas Frölich, Tobias Knopp, Thilo Sothmann, Jonathan Waschkewitz, René Werner, 2018, Illustrationen, Diagramme, 9, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Cardiac-cycle related pulsatile aneurysm motion and deformation is assumed to provide valuable information for assessing cerebral aneurysm rupture risk. Accordingly, numerous studies addressed quantification of cerebral aneurysm wall motion and deformation. Most of them utilized in vivo imaging data, but image-based aneurysm deformation quantification is subject to pronounced uncertainties: unknown ground-truth deformation; image resolution in the order of the expected deformation; direct interplay between contrast agent inflow and image intensity. To analyze the impact of the uncertainties on deformation quantification, a multi-imaging modality ground-truth phantom study is performed. A physical flow phantom was designed that allowed simulating pulsatile flow through a variety of modeled cerebral vascular structures. The phantom was imaged using different modalities [MRI, CT, 3D-RA] and mimicking physiologically realistic flow conditions. Resulting image data was analyzed by an established registration-based approach for automated wall motion quantification. The data reveals severe dependency between contrast media inflow-related image intensity changes and the extent of estimated wall deformation. The study illustrates that imaging-related uncertainties affect the accuracy of cerebral aneurysm deformation quantification, suggesting that in vivo imaging studies have to be accompanied by ground-truth phantom experiments to foster data interpretation and to prove plausibility of the applied image analysis algorithms., Sedlacik, Jan 1978- VerfasserIn (DE-588)133949362 (DE-627)558828922 (DE-576)300211619 aut, Fiehler, Jens VerfasserIn (DE-588)1027015042 (DE-627)72812811X (DE-576)372397956 aut, Frölich, Andreas M. J. VerfasserIn (DE-588)1171138687 (DE-627)1040379044 (DE-576)513599827 aut, Knopp, Tobias 1982- VerfasserIn (DE-588)1012100391 (DE-627)704831740 (DE-576)34492985X aut, Sothmann, Thilo VerfasserIn aut, Waschkewitz, Jonathan VerfasserIn aut, Werner, René 1979- VerfasserIn (DE-588)133973204 (DE-627)55923645X (DE-576)30022673X aut, Technische Universität Hamburg Sonstige Körperschaft 4oth (DE-588)1112763473 (DE-627)866918418 (DE-576)476770564 oth, Institute for Biomedical Imaging Sonstige Körperschaft 4oth (DE-588)1155319761 (DE-627)1016729995 (DE-576)501541160 oth, Enthalten in Scientific reports [London] : Macmillan Publishers Limited, part of Springer Nature, 2011 Bd. 8.2018,1, Art.-Nr. 11004, insgesamt 9 Seiten Online-Ressource (DE-627)663366712 (DE-600)2615211-3 (DE-576)346641179 2045-2322 nnns, volume:8 year:2018 number:1 pages:11004 extent:9, https://doi.org/10.1038/s41598-018-29282-0 Resolving-System kostenfrei Volltext, http://nbn-resolving.de/urn:nbn:de:gbv:830-88222873 Resolving-System kostenfrei Volltext, https://doi.org/10.15480/882.1763 Resolving-System kostenfrei Volltext, http://hdl.handle.net/11420/1766 Resolving-System kostenfrei Volltext, http://nbn-resolving.de/urn:nbn:de:gbv:830-88222873 LFER, LFER 2019-05-29T00:00:00Z |
| spellingShingle | Schetelig, Daniel, Sedlacik, Jan, Fiehler, Jens, Frölich, Andreas M. J., Knopp, Tobias, Sothmann, Thilo, Waschkewitz, Jonathan, Werner, René, Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom, Cardiac-cycle related pulsatile aneurysm motion and deformation is assumed to provide valuable information for assessing cerebral aneurysm rupture risk. Accordingly, numerous studies addressed quantification of cerebral aneurysm wall motion and deformation. Most of them utilized in vivo imaging data, but image-based aneurysm deformation quantification is subject to pronounced uncertainties: unknown ground-truth deformation; image resolution in the order of the expected deformation; direct interplay between contrast agent inflow and image intensity. To analyze the impact of the uncertainties on deformation quantification, a multi-imaging modality ground-truth phantom study is performed. A physical flow phantom was designed that allowed simulating pulsatile flow through a variety of modeled cerebral vascular structures. The phantom was imaged using different modalities [MRI, CT, 3D-RA] and mimicking physiologically realistic flow conditions. Resulting image data was analyzed by an established registration-based approach for automated wall motion quantification. The data reveals severe dependency between contrast media inflow-related image intensity changes and the extent of estimated wall deformation. The study illustrates that imaging-related uncertainties affect the accuracy of cerebral aneurysm deformation quantification, suggesting that in vivo imaging studies have to be accompanied by ground-truth phantom experiments to foster data interpretation and to prove plausibility of the applied image analysis algorithms. |
| title | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom |
| title_auth | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom |
| title_full | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom Daniel Schetelig, Jan Sedlacik, Jens Fiehler, Andreas Frölich, Tobias Knopp, Thilo Sothmann, Jonathan Waschkewitz, René Werner |
| title_fullStr | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom Daniel Schetelig, Jan Sedlacik, Jens Fiehler, Andreas Frölich, Tobias Knopp, Thilo Sothmann, Jonathan Waschkewitz, René Werner |
| title_full_unstemmed | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom Daniel Schetelig, Jan Sedlacik, Jens Fiehler, Andreas Frölich, Tobias Knopp, Thilo Sothmann, Jonathan Waschkewitz, René Werner |
| title_in_hierarchy | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom / Daniel Schetelig, Jan Sedlacik, Jens Fiehler, Andreas Frölich, Tobias Knopp, Thilo Sothmann, Jonathan Waschkewitz, René Werner, |
| title_short | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom |
| title_sort | analysis of the influence of imaging related uncertainties on cerebral aneurysm deformation quantification using a no deformation physical flow phantom |
| title_unstemmed | Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom |
| url | https://doi.org/10.1038/s41598-018-29282-0, http://nbn-resolving.de/urn:nbn:de:gbv:830-88222873, https://doi.org/10.15480/882.1763, http://hdl.handle.net/11420/1766 |
| urn | urn:nbn:de:gbv:830-88222873 |