Accurate and timely diagnosis is critical in healthcare, especially for potentially life-threatening medical conditions like brain aneurysms. Brain aneurysms (or intracranial aneurysms) are focal dilations in the arteries of the brain that may not show symptoms initially but can be deadly if not diagnosed accurately and treated appropriately.
Experienced radiologists can detect aneurysms on images of the brain, but they can be easily overlooked, particularly when imaging studies are performed for other purposes. Rapid and accurate automated detection of aneurysms on routine brain imaging studies could help prevent devastating outcomes for patients.
Intracranial aneurysms affect around 3% of the global population. Unfortunately, up to 50% of these aneurysms are only diagnosed after they rupture, which can result in severe illness or death. Worldwide, intracranial aneurysms cause approximately 500,000 deaths each year, and roughly half of the victims are younger than 50.
Project aims to detect and precisely locate intracranial aneurysms across various types of medical images, including CTA, MRA, and T1 post-contrast and T2-weighted MRI. The challenge includes real clinical variation, with data from different institutions, scanners and imaging protocols that will test model’s ability to generalize.
- ACA - Anterior Communicating Artery
- BT - Basilar Tip
- LACA - Left Anterior Cerebral Artery
- LIICA - Left Infraclinoid Internal Carotid Artery
- LMCA - Left Middle Cerebral Artery
- LPCA - Left Posterior Communicating Artery
- LSICA - Left Supraclinoid Internal Carotid Artery
- OPC - Other Posterior Circulation
- RACA - Right Anterior Cerebral Artery
- RIICA - Right Infraclinoid Internal Carotid Artery
- RMCA - Right Middle Cerebral Artery
- RPCA - Right Posterior Communicating Artery
- RSICA - Right Supraclinoid Internal Carotid Artery