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Related Experiment Video

Updated: May 2, 2026

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    This study introduces T2AgeNet, a novel framework for brain age estimation using structural MRI. The model achieves accurate age prediction and identifies tissue-specific abnormalities, enhancing neurodevelopment and neurodegeneration detection.

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    Area of Science:

    • Neuroimaging
    • Artificial Intelligence
    • Biomedical Engineering

    Background:

    • Brain age estimation from structural MRI aids in detecting neurodevelopmental and neurodegenerative disorders.
    • Existing methods often lack tissue-level specificity and fail to integrate medical prior knowledge.
    • Global biomarkers derived from MRI do not capture localized pathological changes.

    Purpose of the Study:

    • To develop a tissue-level brain age estimation framework integrating anatomical and clinical information.
    • To address limitations of global biomarkers by incorporating tissue specificity.
    • To leverage medical prior knowledge through a dual-path image-text approach.

    Main Methods:

    • Proposed T2AgeNet, a dual-path image-text framework for localized brain age prediction.
    • Utilized brain MRI segmentation to generate tissue-specific masks for localized analysis.
    • Integrated clinical semantics by aligning visual features with personalized descriptions and transforming aging features into text using a large language model.

    Main Results:

    • Achieved accurate brain age estimation across diverse populations, including fetal development, preterm infants, Alzheimer's disease, and autism spectrum disorder.
    • Demonstrated T2AgeNet's capability to identify tissue-specific structural abnormalities on OASIS-3 and ABIDE-I datasets.
    • Showcased consistency of identified abnormalities with known neurological patterns.

    Conclusions:

    • T2AgeNet offers a novel approach for tissue-level brain age estimation, improving upon global biomarker methods.
    • The framework effectively integrates anatomical and semantic information for enhanced neuroimaging analysis.
    • T2AgeNet shows promise for early detection and characterization of neurological disorders through precise, localized brain age assessment.