A Computer System for Locating Sequences of CT Liver Boundary Using Neural Networks and Fractal Geometry

• Main Authors: Cheng-Ping Lai, 賴政坪
• Other Authors: Pau-Choo Chung
• Format: Others
• Language: en_US
• Published: 1994
• Online Access: http://ndltd.ncl.edu.tw/handle/91319141093608447328

碩士 === 國立成功大學 === 電機工程研究所 === 82 === A method using neural networks and the concept of fractal geometry to automatically locate a sequence of CT liver images has been proposed. In this approach, we have found, an image is first segmented using a Kohonen neural network based on the gray level distribution. The next step is to use the texture feature of liver images to remove the regions of other organs. After this, a liver boundary can be allocated, then map this area to next or previous images by a cost function to obtain all of the CT liver boundaries of a patient. From the experimental results, we have found that the proposed method can not only properly segment out the liver boundary but also show the locations of vessels and tumors clearly.