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Erschienen in: The International Journal of Cardiovascular Imaging 1/2014

01.01.2014 | Original Paper

True four-dimensional analysis of thoracic aortic displacement and distension using model-based segmentation of computed tomography angiography

verfasst von: Tim F. Weber, Tobias Müller, Andreas Biesdorf, Stefan Wörz, Fabian Rengier, Tobias Heye, Tim Holland-Letz, Karl Rohr, Hans-Ulrich Kauczor, Hendrik von Tengg-Kobligk

Erschienen in: The International Journal of Cardiovascular Imaging | Ausgabe 1/2014

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Abstract

Previous analyses of aortic displacement and distension using computed tomography angiography (CTA) were performed on double-oblique multi-planar reformations and did not consider through-plane motion. The aim of this study was to overcome this limitation by using a novel computational approach for the assessment of thoracic aortic displacement and distension in their true four-dimensional extent. Vessel segmentation with landmark tracking was executed on CTA of 24 patients without evidence of aortic disease. Distension magnitudes and maximum displacement vectors (MDV) including their direction were analyzed at 5 aortic locations: left coronary artery (COR), mid-ascending aorta (ASC), brachiocephalic trunk (BCT), left subclavian artery (LSA), descending aorta (DES). Distension was highest for COR (2.3 ± 1.2 mm) and BCT (1.7 ± 1.1 mm) compared with ASC, LSA, and DES (p < 0.005). MDV decreased from COR to LSA (p < 0.005) and was highest for COR (6.2 ± 2.0 mm) and ASC (3.8 ± 1.9 mm). Displacement was directed towards left and anterior at COR and ASC. Craniocaudal displacement at COR and ASC was 1.3 ± 0.8 and 0.3 ± 0.3 mm. At BCT, LSA, and DES no predominant displacement direction was observable. Vessel displacement and wall distension are highest in the ascending aorta, and ascending aortic displacement is primarily directed towards left and anterior. Craniocaudal displacement remains low even close to the left cardiac ventricle.
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Metadaten
Titel
True four-dimensional analysis of thoracic aortic displacement and distension using model-based segmentation of computed tomography angiography
verfasst von
Tim F. Weber
Tobias Müller
Andreas Biesdorf
Stefan Wörz
Fabian Rengier
Tobias Heye
Tim Holland-Letz
Karl Rohr
Hans-Ulrich Kauczor
Hendrik von Tengg-Kobligk
Publikationsdatum
01.01.2014
Verlag
Springer Netherlands
Erschienen in
The International Journal of Cardiovascular Imaging / Ausgabe 1/2014
Print ISSN: 1569-5794
Elektronische ISSN: 1875-8312
DOI
https://doi.org/10.1007/s10554-013-0307-6

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