AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo

by   Yuan Jin, et al.

The aortic vessel tree is composed of the aorta and its branching arteries, and plays a key role in supplying the whole body with blood. Aortic diseases, like aneurysms or dissections, can lead to an aortic rupture, whose treatment with open surgery is highly risky. Therefore, patients commonly undergo drug treatment under constant monitoring, which requires regular inspections of the vessels through imaging. The standard imaging modality for diagnosis and monitoring is computed tomography (CT), which can provide a detailed picture of the aorta and its branching vessels if combined with a contrast agent, resulting in a CT angiography (CTA). Optimally, the whole aortic vessel tree geometry from consecutive CTAs, are overlaid and compared. This allows to not only detect changes in the aorta, but also more peripheral vessel tree changes, caused by the primary pathology or newly developed. When performed manually, this reconstruction requires slice by slice contouring, which could easily take a whole day for a single aortic vessel tree and, hence, is not feasible in clinical practice. Automatic or semi-automatic vessel tree segmentation algorithms, on the other hand, can complete this task in a fraction of the manual execution time and run in parallel to the clinical routine of the clinicians. In this paper, we systematically review computing techniques for the automatic and semi-automatic segmentation of the aortic vessel tree. The review concludes with an in-depth discussion on how close these state-of-the-art approaches are to an application in clinical practice and how active this research field is, taking into account the number of publications, datasets and challenges.


page 4

page 5

page 20

page 23


Pituitary Adenoma Volumetry with 3D Slicer

In this study, we present pituitary adenoma volumetry using the free and...

Pulmonary Vascular Tree Segmentation from Contrast-Enhanced CT Images

We present a pulmonary vessel segmentation algorithm, which is fast, ful...

3D Organ Shape Reconstruction from Topogram Images

Automatic delineation and measurement of main organs such as liver is on...

Efficient liver segmentation with 3D CNN using computed tomography scans

The liver is one of the most critical metabolic organs in vertebrates du...

Ricci Curvature Based Volumetric Segmentation of the Auditory Ossicles

The auditory ossicles that are located in the middle ear are the smalles...

Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images

Pulmonary vessel segmentation is important for clinical diagnosis of pul...

Interactive Volumetry Of Liver Ablation Zones

Percutaneous radiofrequency ablation (RFA) is a minimally invasive techn...

Please sign up or login with your details

Forgot password? Click here to reset