CAJ | 학술논문

为了有效地分割肝脏区域，提出一种改进的基于标号搜索算法的自动分割肝脏算法。在基于标记搜索算法的基础上，将梯度大小作为权重因子加入梯度标号图，同时将肝脏轮廓与灰度值分布相联系，能有效地操作与轮廓有关的像素，很好地保留了肝脏区域。通过计算每个候选像素最小代价函数来确定最佳路径，获得一个准确的肝脏轮廓。实验表明，改进算法能有效地分割肝脏，极大地提高了分割肝脏的准确性。
위료유효지분할간장구역，제출일충개진적기우표호수색산법적자동분할간장산법。재기우표기수색산법적기출상，장제도대소작위권중인자가입제도표호도，동시장간장륜곽여회도치분포상련계，능유효지조작여륜곽유관적상소，흔호지보류료간장구역。통과계산매개후선상소최소대개함수래학정최가로경，획득일개준학적간장륜곽。실험표명，개진산법능유효지분할간장，겁대지제고료분할간장적준학성。
In order to effectively segmentateand calculate volume of the liver, this paper proposes an improved algorithm to auto-matic segmentateand of liver.Based on the labeling search algorithm take the gradient magnitude as a weighting factor, will add the gradient into labeled graph, while the liver contour and the gray value distribution phase, can operate effectively with contour pixels. Through the calculation of each candidate pixel minimum cost function to determine the optimal path and obtain an accurate liver contour. After the division of the liver section, the use of its thickness and interlayer information and pixel size to automatically real-ize the liver volume measurement. Experiments show that the improved algorithm can effectively segmentate liver, greatly improves the accuracy of segmentation of liver.