| Online-Ressource |
Verfasst von: | Wörz, Stefan [VerfasserIn]  |
| Tengg-Kobligk, Hendrik von [VerfasserIn]  |
| Henninger, Verena Anna [VerfasserIn]  |
| Rengier, Fabian [VerfasserIn]  |
| Schumacher, Hardy [VerfasserIn]  |
| Böckler, Dittmar [VerfasserIn]  |
| Kauczor, Hans-Ulrich [VerfasserIn]  |
| Rohr, Karl [VerfasserIn]  |
Titel: | 3-D quantification of the aortic arch morphology in 3-D CTA data for endovascular aortic repair |
Verf.angabe: | Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Fabian Rengier, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, and Karl Rohr |
E-Jahr: | 2010 |
Jahr: | October 2010 |
Umfang: | 10 S. |
Illustrationen: | Illustrationen |
Fussnoten: | Date of publication: 21 June 2010 ; Gesehen am 20.03.2024 |
Titel Quelle: | Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on biomedical engineering |
Ort Quelle: | New York, NY : IEEE, 1964 |
Jahr Quelle: | 2010 |
Band/Heft Quelle: | 57(2010), 10 vom: Okt., Seite 2359-2368 |
ISSN Quelle: | 1558-2531 |
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. |
DOI: | doi:10.1109/TBME.2010.2053539 |
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 |
| Volltext: https://ieeexplore.ieee.org/document/5491100 |
| DOI: https://doi.org/10.1109/TBME.2010.2053539 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | 3-D analytic intensity model |
| 3-D aortic arch segmentation |
| 3-D computed tomography angiography (CTA) data |
| Anatomy |
| Bioinformatics |
| Carotid arteries |
| Curve fitting |
| endovascular graft (EVG) |
| Humans |
| Imaging phantoms |
| Morphology |
| Permission |
| Radiology |
| Thorax |
K10plus-PPN: | 1883929873 |
Verknüpfungen: | → Zeitschrift |
3-D quantification of the aortic arch morphology in 3-D CTA data for endovascular aortic repair / Wörz, Stefan [VerfasserIn]; October 2010 (Online-Ressource)