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: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
October 2010
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| 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 
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| Verfasserangaben: | Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Fabian Rengier, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, and Karl Rohr |
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| 245 | 1 | 0 | |a 3-D quantification of the aortic arch morphology in 3-D CTA data for endovascular aortic repair |c Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Fabian Rengier, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, and Karl Rohr |
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| 520 | |a 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. | ||
| 650 | 4 | |a 3-D analytic intensity model | |
| 650 | 4 | |a 3-D aortic arch segmentation | |
| 650 | 4 | |a 3-D computed tomography angiography (CTA) data | |
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| 650 | 4 | |a Bioinformatics | |
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