With the development of medical image equipment, the Computed tomography (CT) scan has greatly increased the detectable area of the human body and improved the detection sensitivity and accuracy of disease monitoring. However, the unbalanced distribution of HU intensity values lowers accuracy and sensitivity of automatic analysis and segmentation based on CT images. As such, we proposed a redistributing method to make the distribution even while ensuring that similar intensities of CT images reflect the same tissue after processed. Our experiments based on the 3D brain tumor CT images proved that this method can significantly speed up the convergence and improve segmentation accuracy as compared to conventional preprocessed methods.


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    Titel :

    A Redistribution Method of CT Image HU Value


    Beteiligte:
    Chang, Jie (Autor:in) / Ye, Minquan (Autor:in) / Gu, Naijie (Autor:in) / Zhang, Xiaoci (Autor:in) / Hu, Tianhan (Autor:in)


    Erscheinungsdatum :

    2019-10-01


    Format / Umfang :

    575055 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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