A Landmark-Guided Dual-Stream Synergistic Framework for Automated Intracranial Aneurysm Detection in Magnetic Resonance Angiography.

Doyeon Kim¹, Jieun Park¹, Hyeonsik Yang¹, Gi-Youn Kim¹, Jiyeon Lee¹, Donghyeon Kim¹, Hyun Jin Han², Keun Young Park², Minho Lee³

¹Research Institute, Neurophet Inc., 12 F, 124, Teheran-Ro, Gangnam, Seoul, Republic of Korea.

²Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.

³Research Institute, Neurophet Inc., 12 F, 124, Teheran-Ro, Gangnam, Seoul, Republic of Korea. minho.lee@neurophet.com.

PubMed DOI

Abstract

Early and accurate detection of intracranial aneurysms (IAs) is critical for preventing rupture; however, manual interpretation of time-of-flight magnetic resonance angiography (TOF-MRA) scans requires time-intensive review, increasing clinician workload. Although deep-learning methods offer promising solutions, existing approaches often rely on impractical vessel segmentation or inefficient patch…

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