Registration-based semi-automatic assessment of aortic diameter growth rate from contrast-enhanced computed tomography outperforms manual quantification

L Dux-Santoy, JF Rodríguez-Palomares… - European …, 2022 - Springer
Objectives Manual assessment of aortic diameters on double-oblique reformatted computed
tomography angiograms (CTA) is considered the current standard, although the …

[HTML][HTML] Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease

J Yang, X Li, JZ Cheng, Z Xue, F Shi, Y Ji… - Computers in Biology …, 2023 - Elsevier
Background Non-contrast chest CT is widely used for lung cancer screening, and its images
carry potential information of the thoracic aorta. The morphological assessment of the …

[HTML][HTML] Deep learning method for aortic root detection

PG Tahoces, R Varela, JM Carreira - Computers in Biology and Medicine, 2021 - Elsevier
Background Computed tomography angiography (CTA) is a preferred imaging technique for
a wide range of vascular diseases. However, extensive manual analysis is required to detect …

[HTML][HTML] A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning

P Canals, S Balocco, O Díaz, J Li… - … Medical Imaging and …, 2023 - Elsevier
Vascular tortuosity of supra-aortic vessels is widely considered one of the main reasons for
failure and delays in endovascular treatment of large vessel occlusion in patients with acute …

Automated ascending aorta delineation from ECG-gated computed tomography images

A Pirentis, PD Kalogerakos, H Mojibian… - Medical & Biological …, 2022 - Springer
The instrumental role of comprehensive geometrical quantification in contemporary, effective
descriptions of aortic growth and disease is well established. General or specific purpose …

Detection of aortic cusp landmarks in computed tomography images with deep learning

L Škrlj, M Jelenc, T Vrtovec - … on Functional Imaging and Modeling of the …, 2023 - Springer
To perform aortic valve morphology for the assessment of the valvular heart disease in
cardiovascular medicine, an accurate identification of specific anatomical points, ie …

Automatic branch detection of the arterial system from abdominal aortic segmentation

S Riffaud, G Ravon, T Allard, F Bernard, A Iollo… - Medical & Biological …, 2022 - Springer
We present a new method to automatically identify the different arteries present in an
abdominal aortic segmentation. In this approach, the arterial system is first represented by a …

Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA Images

TP Vagenas, K Georgas, GK Matsopoulos - MICCAI Challenge on …, 2023 - Springer
Abstract Segmentation of the Aortic Vessel Tree (AVT) in the Computed Tomography
Angiography (CTA) images is pivotal for the diagnosis and monitoring of the aortic diseases …

[Retracted] Detection of 3D Arterial Centerline Extraction in Spiral CT Coronary Angiography

W Cai, Y Wang, L Gu, X Ji, Q Shen… - Journal of Healthcare …, 2021 - Wiley Online Library
This paper presents an in‐depth study and analysis of the 3D arterial centerline in spiral CT
coronary angiography, and constructs its detection and extraction technique. The first time …

[PDF][PDF] Transdisciplinary Visualization of Aortic Dissections

G Mistelbauer, K Bäumler, D Mastrodicasa, LD Hahn… - 2023 - diglib.eg.org
Aortic dissection is a life-threatening condition caused by the abrupt formation of a
secondary blood flow channel within the vessel wall. Patients surviving the acute phase …