Overview of Liver Segmentation

Overview of Liver Segmentation

Overview of liver segmentation

Investigating pathological processes is not difficult task when the signal is simple and appears at the outer surface of the human body. However, most systems and organs are placed within the body and enclosed in protective layers. When these kinds of organs have pathological changes, it is hardly to diagnose by the doctors. Compute vision have been widely used for diagnosis of screen the liver in patients with malignancy disease and volume measurement for liver surgery or transplantation. The liver cancer is one of the most common internal malignancies worldwide. The hepatocellular carcinoma and metastasis are both very common in the West and Asia. The liver cancer is also one of the leading death causes []. On the other aspect, living donor liver transplantation is increasingly performed as an alternative to cadaveric transplantation. The shortage of cadaveric organs and the successful results reported by many centres have fostered the practice. Preoperative screening of the donor candidates is very important. The quality, size, and vascular and biliary anatomy of the liver are best assessed with computed tomography (CT) and magnetic resonance imaging (MRI).

Currently, the confirmed diagnosis used widely for the liver cancer is needle biopsy. The needle biopsy, however, is an invasive technique and generally not recommended. Therefore, MR imaging or CT have been identified as accurate non-invasive imaging modalities in the diagnosis of the liver cancer. Because liver vasculature is highly variable, study of the abdomen requires imaging modalities MRI or CT that can provide three-dimensional (3D). It may be useful to have a 3D model of the liver and vasculature for patients being considered for hepatic surgery. If liver resection is needed for removal of a tumor, it is important to know the tumor location in relation to the hepatic vessels. CT is which produces a sequence of images, each representing one slice through the 3D...

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