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| Verfasst von: | Wörz, Stefan [VerfasserIn]  |
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| | Tengg-Kobligk, Hendrik von [VerfasserIn] |
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| | Henninger, Verena Anna [VerfasserIn] |
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| | Rengier, Fabian [VerfasserIn] |
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| | Schumacher, Hardy [VerfasserIn] |
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| | Böckler, Dittmar [VerfasserIn] |
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| | Kauczor, Hans-Ulrich [VerfasserIn] |
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| | Rohr, Karl [VerfasserIn] |
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| Titel: | 3-D quantification of the aortic arch morphology in 3-D CTA data for endovascular aortic repair |
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| Verf.angabe: | Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Fabian Rengier, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, and Karl Rohr |
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| E-Jahr: | 2010 |
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| Jahr: | October 2010 |
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| Umfang: | 10 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Date of publication: 21 June 2010 ; Gesehen am 20.03.2024 |
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| Titel Quelle: | Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on biomedical engineering |
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| Ort Quelle: | New York, NY : IEEE, 1964 |
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| Jahr Quelle: | 2010 |
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| Band/Heft Quelle: | 57(2010), 10 vom: Okt., Seite 2359-2368 |
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| ISSN Quelle: | 1558-2531 |
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| Abstract: | We introduce a new model-based approach for the segmentation and quantification of the aortic arch morphology in 3-D computed tomography angiography (CTA) data for thoracic endovascular aortic repair (TEVAR). The approach is based on a model-fitting scheme using a 3-D analytic intensity model for thick vessels in conjunction with a two-step refinement procedure, and allows us to accurately quantify the morphology of the aortic arch. Based on the fitting results, we additionally compute the (local) 3-D vessel curvature and torsion as well as the relevant lengths not only along the 3-D centerline, but particularly also along the inner and outer contour. These measurements are important for preoperative planning in TEVAR applications. We have validated our approach based on 3-D synthetic as well as 3-D MR phantom images. Moreover, we have successfully applied our approach using 3-D CTA datasets of the human thorax and have compared the results with ground truth obtained by a radiologist. We have also performed a quantitative comparison with a commercial vascular analysis software. |
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| DOI: | doi:10.1109/TBME.2010.2053539 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1109/TBME.2010.2053539 |
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| | Volltext: https://ieeexplore.ieee.org/document/5491100 |
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| | DOI: https://doi.org/10.1109/TBME.2010.2053539 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | 3-D analytic intensity model |
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| | 3-D aortic arch segmentation |
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| | 3-D computed tomography angiography (CTA) data |
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| | Anatomy |
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| | Bioinformatics |
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| | Carotid arteries |
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| | Curve fitting |
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| | endovascular graft (EVG) |
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| | Humans |
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| | Imaging phantoms |
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| | Morphology |
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| | Permission |
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| | Radiology |
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| | Thorax |
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| K10plus-PPN: | 1883929873 |
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| Verknüpfungen: | → Zeitschrift |
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3-D quantification of the aortic arch morphology in 3-D CTA data for endovascular aortic repair / Wörz, Stefan [VerfasserIn]; October 2010 (Online-Ressource)
