August 12, 2025Open Access

Imaging Through Scattering Tissue Based on NIR Multispectral Image Fusion Technique

NANisan AtiyaAzrieli College of Engineering Jerusalem ASAmir ShemerJerusalem College of Technology ASAriel SchwarzJerusalem College of Technology

Key Points

MAIN FINDING: The research integrates hyperspectral imaging with image fusion for better detection capabilities in tissues.
KEY EVIDENCE: Hyperspectral imaging accurately identifies cancerous tumors within human tissue using NIR wavelengths.
APPROACH: Data from multiple NIR images was processed and merged through advanced image fusion techniques.
SIGNIFICANCE: This method enhances non-invasive diagnostics, improving patient comfort and safety in medical procedures.

Abstract

Non-invasive diagnostics play a crucial role in medicine, and they ensure both contamination safety and patient comfort. The proposed study integrates hyperspectral imaging with advanced image fusion, enabling non-invasive, diagnostic procedure within tissue. It utilizes near-infrared (NIR) wavelength vision that is suitable for reflections from objects within a dispersive layer, enabling the reconstruction of internal tissue layers images. It can detect objects, including cancerous tumors (presented as phantoms), inside human tissue. This involves processing data from multiple images taken in different NIR bands and merging them through image fusion techniques. Our research demonstrates evident data about objects within the diffusive media, visible only in the reconstructed images. The experimental results demonstrate a significant correlation with the samples employed in the study’s experimental design.

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