AUTOMATIC SEGMENTATION OF LIVER STRUCTURE IN CT IMAGES
AUTOMATIC SEGMENTATION OF LIVER STRUCTURE IN CT IMAGES
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DOI：
10.1118/1.597064
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发表时间：
1993-01-01
期刊：
影响因子：
3.8
通讯作者：
KAHN, CE
中科院分区：
文献类型：
--
作者：
BAE, KT;GIGER, ML;KAHN, CE
从计算机断层摄影（CT）扫描中分割和三维表示肝脏是许多医学应用中的重要步骤，例如在活体肝脏移植的手术规划中以及在病理状态的自动检测和记录中。正在开发一种方法，利用有关肝脏形态学和数字图像处理技术的先验信息，从腹部CT扫描中自动提取肝脏结构。从参考图像开始，逐图像（逐切片）顺序执行分割，其中肝脏几乎占据腹部横截面的整个右半部分。图像处理技术包括灰度阈值、高斯平滑和八点连通性跟踪。对于每种情况，记录每个CT图像的肝脏的形状、大小和像素密度分布，并用于其他CT图像的处理。利用数学形态学技术和B样条平滑肝脏的提取边界。计算机确定的边界与放射科医生绘制的边界进行比较。两种方法的边界描述一致，计算面积在10%以内。
The segmentation and three-dimensional representation of the liver from a computed tomography (CT) scan is an important step in many medical applications, such as in the surgical planning for a living-donor liver transplant and in the automatic detection and documentation of pathological states. A method is being developed to automatically extract liver structure from abdominal CT scans using a priori information about liver morphology and digital image-processing techniques. Segmentation is performed sequentially image-by-image (slice-by-slice), starting with a reference image in which the liver occupies almost the entire right half of the abdomen cross section. Image processing techniques include gray level thresholding, Gaussian smoothing, and eight-point connectivity tracking. For each case, the shape, size, and pixel density distribution of the liver are recorded for each CT image and used in the processing of other CT images. Extracted boundaries of the liver are smoothed using mathematical morphology techniques and B-splines. Computer-determined boundaries were compared with those drawn by a radiologist. The boundary descriptions from the two methods were in agreement, and the calculated areas were within 10%.