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    Automatic slice growing method based 3D reconstruction of liver with its vessels

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    Date
    2014
    Publisher
    © 2014 Institute of Electrical and Electronics Engineers Inc.
    Author
    Alom, Md. Zahangir
    Mostakim, Moin
    Biswas, Rubel
    Chakrabarty, Amitabha
    Metadata
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    URI
    http://hdl.handle.net/10361/7302
    Citation
    Alom, M. Z., Mostakim, M., Biswas, R., & Chakrabarty, A. (2014). Automatic slice growing method based 3D reconstruction of liver with its vessels. Paper presented at the 16th Int'l Conf. Computer and Information Technology, ICCIT 2013, 338-344. doi:10.1109/ICCITechn.2014.6997361
    Abstract
    In the recent years, reconstructing 3D liver and its vessels from abdominal CT volume images becomes an inevitable and necessary research field. In this paper, a method of 3D reconstruction of liver with its vessels has been implemented, which involves volume preprocessing, de-noising, segmentation, contouring, and combination of different modalities. An advanced liver segmentation algorithms have been proposed: The first one is a 2.5D method that utilizes automatic Slice Growing Method (SGM) to segment liver part of each slice of a data set. It takes advantage of curvature control of level set segmentation method to distinguish liver and adjacent organs. It is proved that the result of this proposed method is much better than simple 3D level set method in liver segmentation. In the case of liver vessel segmentation, we have proposed an improved smoothing method dedicate to 3D vascular volume which results from region growing segmentation method. The cooperation of region growing method and proposed smoothing method has been demonstrated the possibility of efficient vessel segmentation with very accurate results. And the results indicate that our method is suitable for anatomical studying and surgical planning.
    Keywords
    3D level set; CT; Liver Segmentation; MRI; SGM; Vessel segmentation
     
    Description
    This conference paper was presented in 16th International Conference on Computer and Information Technology, ICCIT 2013; Khulna; Bangladesh; 8 March 2014 through 10 March 2014 [© 2014 IEEE] The conference paper's definite version is available at: http://dx.doi.org/10.1109/ICCITechn.2014.6997361
    Publisher Link
    http://ieeexplore.ieee.org/document/6997361/
    DOI
    http://dx.doi.org/10.1109/ICCITechn.2014.6997361
    Department
    Department of Computer Science and Engineering, BRAC University
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