High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework

• URL: http://arxiv.org/abs/2505.21530v1
• Date: Fri, 23 May 2025 15:27:17 GMT
• Title: High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework
• Authors: Xuhang Chen, Zhuo Li, Yanyan Shen, Mufti Mahmud, Hieu Pham, Chi-Man Pun, Shuqiang Wang,
• Abstract summary: Functional neurotemporal imaging provides exceptional resolution for mapping.<n>However, its practical application is hampered by critical challenges.<n>These include data scarcity, ethical considerations and signal degradation.
• Score: 58.07923338080814
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Functional ultrasound (fUS) imaging provides exceptional spatiotemporal resolution for neurovascular mapping, yet its practical application is significantly hampered by critical challenges. Foremost among these are data scarcity, arising from ethical considerations and signal degradation through the cranium, which collectively limit dataset diversity and compromise the fairness of downstream machine learning models.

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