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  • 标题:Liver Extraction Method from Magnetic Resonance Cholangio-Pancreatography (MRCP) Images
  • 本地全文:下载
  • 作者:Sajid Ur Rehman Khattak ; Dr. Mushtaq Ali ; Faqir Gul
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2018
  • 卷号:9
  • 期号:10
  • DOI:10.14569/IJACSA.2018.091055
  • 出版社:Science and Information Society (SAI)
  • 摘要: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.
  • 关键词:Liver extraction; graph cut algorithm; MRCP images; liver surgery; medical images; liver mask; adaptive thresholding method
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