Enhancement of aortic dissections in CT angiography: are common filters robust enough?

Antonella Disanto; Antonio Pepe; Luana Petrelli; Christina Gsaxner; Jianning Li; Yuan Jin; Antonio Brunetti; Domenico Buongiorno; Jan Egger; Vitoantonio Bevilacqua

doi:10.1117/12.2628186

4 April 2022 Enhancement of aortic dissections in CT angiography: are common filters robust enough?

Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, Vitoantonio Bevilacqua

Author Affiliations +

Proceedings Volume 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging; 120362B (2022) https://doi.org/10.1117/12.2628186
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

Aortic dissection is an acute condition of the aorta. It typically starts with an intimal tear and continues with the separation of the aortic wall layers. This situation typically leads to the creation of a second lumen, i.e., the false lumen, where blood can flow into. For diagnosis of this pathology, computed tomography angiography (CTA) is usually used. To have a better understanding of its causes and for measuring cross-sectional caliber at onset and at each follow-up, segmentation of true and false lumen is important in clinical use. In this work, a pipeline for aortic dissection segmentation is evaluated to obtain the correct visualization of true and false lumen separated by the dissection flap that characterizes this pathology. We provide an evaluation of three different vessel enhancement filters, used as a preprocessing step, through both a qualitative and quantitative evaluation.

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Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti, Domenico Buongiorno, Jan Egger, and Vitoantonio Bevilacqua "Enhancement of aortic dissections in CT angiography: are common filters robust enough?", Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 120362B (4 April 2022); https://doi.org/10.1117/12.2628186

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