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Updated: Jul 9, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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Image-Domain Material Decomposition for Dual-energy CT using Unsupervised Learning with Data-fidelity Loss

Junbo Peng, Chih-Wei Chang, Huiqiao Xie

    Arxiv
    |November 28, 2023
    PubMed
    Summary

    This study introduces an unsupervised deep learning method for dual-energy CT (DECT) material decomposition. It overcomes noise issues and avoids the need for paired training data, improving quantitative imaging accuracy.

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