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A24 - AI-Based Detection of Blood Vessels in Human Brain Tissue Images of Neurodegeneration
Neurodegeneration is characterized by damage to neural structures, which often leads to impaired function.
A24 - AI-Based Detection of Blood Vessels in Human Brain Tissue Images of Neurodegeneration
Mentor: Shuying Li, Ph.D.
Neurodegeneration is characterized by damage to neural structures, which often leads to impaired function. Early detection is a major challenge due to microstructural changes in neural and vascular tissue that are difficult to detect using traditional human-based analytical methods. This study focuses on using artificial intelligence (AI) to better understand and detect these changes in high-resolution brain-scanning images. To investigate this, the cerebral vasculature and the surroundings were analyzed using QuPath. High-resolution images were manually annotated to create a training dataset for an artificial neural network (ANN). The annotations allowed the AI to learn to detect vasculature across the entire unannotated high-resolution images. Through iterative training, the AI model was designed to accurately recognize and segment micro blood vessels in human brain images at scale, which can be used to identify key vasculature markers in human brain due to neurodegeneration. The end goal is to develop an AI system trained to reliably detect early vascular markers of neurodegeneration in medical imaging, enabling earlier diagnosis and more effective, targeted treatment planning.