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DOI: 10.14569/IJACSA.2018.091055
PDF

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), Volume 9 Issue 10, 2018.

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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

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



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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