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3-D quantification of the aortic arch morphology in 3-D CTA data for endovascular aortic repair

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 th...

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Hauptverfasser: 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)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: October 2010
In: IEEE transactions on biomedical engineering
Year: 2010, Jahrgang: 57, Heft: 10, Pages: 2359-2368
ISSN:1558-2531
DOI:10.1109/TBME.2010.2053539
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1109/TBME.2010.2053539
Verlag, lizenzpflichtig, Volltext: https://ieeexplore.ieee.org/document/5491100
Volltext
Verfasserangaben:Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Fabian Rengier, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, and Karl Rohr
Beschreibung
Zusammenfassung: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.
Beschreibung:Date of publication: 21 June 2010
Gesehen am 20.03.2024
Beschreibung:Online Resource
ISSN:1558-2531
DOI:10.1109/TBME.2010.2053539

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