A cloud-based centerline algorithm for Studierfenster

Christina Dionysio; Daniel Wild; Antonio Pepe; Christina Gsaxner; Jianning Li; Luis Alvarez; Jan Egger

doi:10.1117/12.2588268

15 February 2021 A cloud-based centerline algorithm for Studierfenster

Christina Dionysio, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Luis Alvarez, Jan Egger

Proceedings Volume 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications; 1160115 (2021) https://doi.org/10.1117/12.2588268
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

A practical method to analyze blood vessels, like the aorta, is to calculate the vessel's centerline and evaluate its shape in a CT or CTA scan. This contribution introduces a cloud-based centerline tool for the aorta, which computes an initial centerline from a CTA scan with two user given seed points. Afterwards, this initial centerline can be smoothed in a second step. The work done for this contribution was implemented into an existing online tool for medical image analysis, called Studierfenster. In order to evaluate the outcome of this contribution, we tested the smoothed centerline computed within Studierfenster against 40 baseline centerlines from a public available CTA challenge dataset. In doing so, we computed a minimum, maximum, and mean distance between the two centerlines in mm for every data sample, resulting in the smallest distance of 0.59mm, an overall maximum distance of 14.18mm, and a mean distance for all samples of 3.86mm with a standard deviation of 0.99mm.

Conference Presentation

Citation Download Citation

Christina Dionysio, Daniel Wild, Antonio Pepe, Christina Gsaxner, Jianning Li, Luis Alvarez, and Jan Egger "A cloud-based centerline algorithm for Studierfenster", Proc. SPIE 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 1160115 (15 February 2021); https://doi.org/10.1117/12.2588268

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