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Home / programming language / Online Matlab Projects / An Efficient and Clinical-Oriented 3D Liver Segmentation Method
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An Efficient and Clinical-Oriented 3D Liver Segmentation Method

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SKU: PROJ8307 Categories: 2018-2019 Projects, Digital Image Processing Projects, Online Matlab Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Matlab Project, PHP Project, Students Projects
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An Efficient and Clinical-Oriented 3D Liver
Segmentation Method

Abstract-By segmenting, modeling, and visualizing computed tomography sequence data, surgeons can better understand the spatial relationship of the intrahepatic vein, portal vein, artery, and tumor. Accurate preoperative understanding of liver anatomy and volume of the corresponding liver segment are necessary for anatomical liver resection. This paper gives an efficient and semiautomatic method for segmenting the liver in clinical cases. This method is based on Couinaud’s theory and automatically divides the liver segment by portal vein branches. Considering the vascular variation of individual cases, the adjustment of the portal vein branches was provided on the basis of automatic segmentation, thus adaptability to various cases was implemented. For the final segmentation results, the portal vein blood supply of different liver segments can be confirmed by 3-D visualization, and the liver volume can be accurately  estimated. Experiments show that this liver segmentation method has good clinical value.

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