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AortaExplorer

Technical University of Denmark / Capital Region of Denmark

Aortic CT

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Cardiac CT

Aortic anatomy segmentation / measurement

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Vascular Disease

Regression

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Regression

CNN (2D)

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Convolutional (CNN)

PyTorch

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PyTorch

CC BY 4.0

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Open — Attribution

Open-source, fully automated framework for end-to-end aortic analysis from CT angiography (CTA), built on top of TotalSegmentator baseline segmentations with additional refinement. AortaExplorer extracts established biomarkers such as diameters across anatomical segments defined by the European Society of Cardiology, and introduces new metrics including aortic tortuosity. Diameter measurements were validated against expert manual readings in more than 10,000 CTA scans from Danish population cohorts, and the tortuosity index's increase with age is consistent with prior literature; the tool reduces per-case analysis time from about 15 minutes to under 5 minutes.

memory Specifications

category

Architecture

CNN (2D)

Segmentation-refinement pipeline built on the TotalSegmentator baseline aorta segmentation, with additional processing to extract cross-sectional diameters (per ESC-defined aortic zones) and vessel tortuosity

code

Framework

PyTorch

calendar_month

Added to catalog

2026-08-14

gavel License

CC BY 4.0

check_small Open source check_small Commercial use OK check_small Modifications allowed Attribution required No share-alike requirement

License for model weights only. Associated code may be licensed seperately, check code source for specific terms.

description Publication

AortaExplorer: AI-driven analysis of the aorta in CT images open_in_new

Paulsen RR, Juul LH, Pham MHC, Kuhl JT, Kofoed KF, Sorensen KA, Sundgaard JV

Medical & Biological Engineering & Computing · 2026 · original paper

DOI: 10.1007/s11517-026-03535-x

database Training & evaluation data

Danish Population CTA Cohort (AortaExplorer)

validation

public 10,000 subjects · Denmark

Approximately 10,000+ CTA scans used for validation

science Capabilities & performance

Aortic diameters across anatomical (ESC-defined) segments and aortic tortuosity index, extracted from CTA

Regression Aortic anatomy segmentation / measurement