ArticleScientific data2024
Intracranial aneurysm CTA images and 3D models dataset with clinical morphological and hemodynamic data.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- HSF-Net: a hybrid-scale fusion network for intracranial aneurysm segmentation in CTA images.Medical & biological engineering & computing · 2026Article
- Differentiable centerline-aware framework for aneurysm neck delineation in volumetric angiography.NPJ digital medicine · 2026Article
- Commercial AI platforms improve reproducibility but fail to meet clinical precision thresholds for intracranial aneurysm measurement: implications for serial surveillance.BMC medical imaging · 2026Article
- Morphological risk factors of parent arteries in intracranial aneurysm formation: an interpretable machine learning analysis.Neuroradiology · 2026Article
- A Bedside Coagulation-Platelet Tipping Point for Mortality in Nontraumatic Subarachnoid Hemorrhage.Journal of multidisciplinary healthcare · 2026Article
- Anatomically-guided masked autoencoder pre-training for aneurysm detection.IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2026Article
- Identification and validation of a pyroptosis-related gene signature in intracranial aneurysm.Open life sciences · 2026Article
- Intracranial aneurysm CTA images and 3D models dataset with clinical morphological and hemodynamic data.Scientific data · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
Intracranial aneurysm is a cerebrovascular disease associated with a high rupture risk, often resulting in death or severe disability. Recent advances in AI enable the prediction of intracranial aneurysm initiation, progression, and rupture through medical image analysis. Despite growing research interest, there is a shortage of publicly available datasets for training and validating AI models. This paper presents a comprehensive dataset comprising high-resolution CTA images of 99 patients with 105 MCA aneurysms and 44 normal healthy controls, along with their respective clinical data and 3D models of aneurysms and the parent arteries derived from the CTA images. Furthermore, recognizing the significance of blood hemodynamics on aneurysm development, this dataset also included the morphological and hemodynamic parameters obtained by computational fluid dynamics (CFD) for each patient and healthy control, which can be utilized by researchers without prior CFD experience. This dataset will facilitate hypothesis-driven or data-driven research on intracranial aneurysms, and has the potential to deepen our understanding of this disease.
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