Hyperspectral Image-Guided Ocular Imager for Alzheimer's Disease Pathologies

A system, comprising:

• a fundus camera comprising a spectral imaging unit that includes a light source and a light sensor;
• and
• one or more processors configured to execute instructions stored in a memory to:
• control the spectral imaging unit to illuminate a fundus of an eye of a subject using the light source, and detect resulting light from the eye using the light sensor for determining spectral information;
• generate a plurality of spectral data packages, wherein each of the plurality of spectral data packages comprise counts of the light from the eye at a different wavelength or a different range of wavelengths;
• assign a plurality of weights to the plurality of spectral data packages;
• and
• classify, using the weighted spectral data packages, the subject as having one or more Alzheimer's Disease (AD)-associated pathologies.

A system, comprising:

• a first imaging modality;
• a second imaging modality;
• and
• one or more processors configured to execute instructions stored in a memory to:
• control the first imaging modality to illuminate a fundus of an eye of a subject, and detect light from the eye for determining a first imaging modality information;
• determine one or more region of interest (ROI) from the first imaging modality information as being a potential Alzheimer's Disease (AD)-associated pathology based on a detection of one or more biomarkers indicative of AD;
• control the second imaging modality to illuminate each of the one or more ROI, and detect light from the eye for determining second imaging modality information;
• and
• classify, using the first imaging modality information and the second imaging modality information, the subject as having one or more AD-associated pathologies.

A method, comprising:

• controlling a spectral imaging unit to illuminate a fundus of an eye of a subject using a light source;
• detecting light from the eye resulting from the light source using a light sensor for determining spectral information;
• and
• classifying, with one or more processors utilizing one or more neural networks and using at least the spectral information, the subject as having one or more Alzheimer's Disease (AD)-associated pathologies.