Vessels

Computer Aided Intracranial Aneurysm Treatment Based on 2D/3D Mapping, Virtual Deployment and Online Distal Marker Detection
This paper presents a computational tool for guiding intracranial aneurysm treatment by aligning preoperative simulation data with real-time X-Ray imaging, enabling more accurate flow diverter deployment. The method was validated on patient data, showing its potential to improve decision-making during procedures by visualizing the device’s current and planned positions.
Nicolas Dazeo, José Ignacio Orlando, Camila García, Romina Muñoz, Laura Obrado, Hector Fernandez, Jordi Blasco, Luis San Román, Juan M. Macho, Andreas Ding, Raphael Utz, Ignacio Larrabide
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Computer Aided Intracranial Aneurysm Treatment Based on 2D/3D Mapping, Virtual Deployment and Online Distal Marker Detection
A deep learning model for brain vessel segmentation\ in 3DRA with arteriovenous malformations
We train the first deep learning model for segmenting brain arteries from 3D rotational angiographies in cases with brain arterio-venous malformations.
Camila García, Yibin Fang, Jianmin Liu, Ana Paula Narata, José Ignacio Orlando, Ignacio Larrabide
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A deep learning model for brain vessel segmentation\ in 3DRA with arteriovenous malformations