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Research Article | Open Access |

Liver Extraction Method from Magnetic Resonance Cholangio-Pancreatography (MRCP) Images

Author 1: Sajid Ur Rehman Khattak Author 2: Dr. Mushtaq Ali Author 3: Faqir Gul Author 4: Nadir Hussian Khan Author 5: Amanullah Baloch Author 6: M. Shoaib Ahmed
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 10 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.091055

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Abstract

Liver extraction from medical images like CT scan and MR images is a challenging task. There are many manuals, Semi-automatic and automatic methods available to extract the liver from computerized tomography (CT) scan images and MR images. However, no method is available in the literature to extract the liver from Magnetic Resonance Cholangio-pancreatography (MRCP) images. Extracting the liver accurately from MRCP images is needed, so that the physician can diagnose the disease easily and plan preoperative liver surgery accordingly. In this paper, we propose a liver extraction method based on Graph Cut algorithm for liver extraction from MRCP images. The experimental results show that the proposed method is very effective for liver extraction from MRCP images.

Keywords

Liver extraction graph cut algorithm MRCP images liver surgery medical images liver mask adaptive thresholding method

How to Cite this Article

Khattak, S. U. R., Ali, D. M., Gul, F., Khan, N. H., Baloch, A., & Ahmed, M. S. (2018). Liver Extraction Method from Magnetic Resonance Cholangio-Pancreatography (MRCP) Images. International Journal of Advanced Computer Science and Applications, 9(10). https://doi.org/10.14569/IJACSA.2018.091055

Khattak, Sajid Ur Rehman, et al.. "Liver Extraction Method from Magnetic Resonance Cholangio-Pancreatography (MRCP) Images." International Journal of Advanced Computer Science and Applications, vol. 9, no. 10, 2018, https://doi.org/10.14569/IJACSA.2018.091055.

@article{Khattak2018,
  title     = {Liver Extraction Method from Magnetic Resonance Cholangio-Pancreatography (MRCP) Images},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {10},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Sajid Ur Rehman Khattak and Dr. Mushtaq Ali and Faqir Gul and Nadir Hussian Khan and Amanullah Baloch and M. Shoaib Ahmed},
  doi       = {10.14569/IJACSA.2018.091055},
  url       = {https://doi.org/10.14569/IJACSA.2018.091055}
}

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