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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Main Authors: Wörz, Stefan (Author) , Tengg-Kobligk, Hendrik von (Author) , Henninger, Verena Anna (Author) , Rengier, Fabian (Author) , Schumacher, Hardy (Author) , Böckler, Dittmar (Author) , Kauczor, Hans-Ulrich (Author) , Rohr, Karl (Author)
Format: Article (Journal)
Language:English
Published: October 2010
In: IEEE transactions on biomedical engineering
Year: 2010, Volume: 57, Issue: 10, Pages: 2359-2368
ISSN:1558-2531
DOI:10.1109/TBME.2010.2053539
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1109/TBME.2010.2053539
Verlag, lizenzpflichtig, Volltext: https://ieeexplore.ieee.org/document/5491100
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Author Notes:Stefan Wörz, Hendrik von Tengg-Kobligk, Verena Henninger, Fabian Rengier, Hardy Schumacher, Dittmar Böckler, Hans-Ulrich Kauczor, and Karl Rohr
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Summary: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.
Item Description:Date of publication: 21 June 2010
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Physical Description:Online Resource
ISSN:1558-2531
DOI:10.1109/TBME.2010.2053539