1. Articles from Ning Mu

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    1. FFOCT imaging based on compressed sensing

      FFOCT imaging based on compressed sensing

      With the demand for high-resolution images, the storage space occupied by the images of the full-field optical coherence tomography (FFOCT) system is becoming more and more intensified. How to reduce the data volume of high-resolution image systems has become a research hotspot in the image processing industry. In particular, precision medicine requires high-resolution images of organs and tissues, and this data storage system requires a large storage space. For this reason, based on the high-resolution tomographic image obtained from our organ tissue, compressed sensing theory is used to perform compression reconstruction simulation. It is verified that the amount of data ...

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    2. Image contrast correction method in full-field optical coherence tomography

      Image contrast correction method in full-field optical coherence tomography

      An image contrast correction method is proposed for en face images obtained with full-field optical coherence tomography (FFOCT). First, the mechanism of image contrast decrease in FFOCT is considered and the theoretical models of main parameters that degrade image contrast are analyzed. Second, changes of contrast with depth are calculated under various conditions, from which the main parameters that affect contrast in tissue are identified. Then based on the analysis, the methods are proposed for correcting image contrast. Finally, the en face tomographic images of human liver tissue at different depths with and without contrast correction are presented to demonstrate ...

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    1-2 of 2
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  2. Topics in the News

    1. (2 articles) Nanjing University of Science and Technology
    2. (1 articles) Wanrong Gao
    3. (1 articles) University of Florida
    4. (1 articles) Delft University of Technology
    5. (1 articles) Huikai K. Xie
    6. (1 articles) Xuan Liu
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