Segmentation of breast tumor in three-dimensional ultrasound images using three-dimensional discrete active contour model

被引:62
作者
Chang, RF
Wu, WJ
Moon, WK
Chen, WM
Lee, W
Chen, DR
机构
[1] China Med Coll & Hosp, Dept Gen Surg, Taichung, Taiwan
[2] Natl Chung Cheng Univ, Dept Comp Sci & Informat Engn, Chiayi, Taiwan
[3] Seoul Natl Univ Hosp, Dept Diagnost Radiol, Seoul 110744, South Korea
关键词
three-dimensional ultrasound image; three-dimensional active contour model; three-dimensional stick; segmentation;
D O I
10.1016/S0301-5629(03)00992-X
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, we apply the three-dimensional (3-D) active contour model to a 3-D ultrasonic data file for segmenting of the breast tumor. The 3-D ultrasonic file is composed of a series of two-dimensional (2-D) images. Most of traditional techniques of 2-D image segmentation will not use the information between adjacent images. To suit the property of the 3-D data, we introduce the concept of the 3-D stick, the 3-D morphologic process and the 3-D active contour model. The 3-D stick can get over the problem that the ultrasonic image is full of speckle noise and highlight the edge information in images. The 3-D morphologic process helps to determine the contour of the tumor and the resulting contour can be regarded as the initial contour of the active contour model. Finally, the 3-D active contour model will make the initial contour approach to the real contour of the tumor. However, there is emphasis on these 3-D techniques that they do not consist of a series of 2-D techniques. When they work, they will consider the horizontal, vertical and depth directions at the same time. The use of these 3-D techniques not only segments the 3-D shape but also obtains the volume of the tumor. The volume of the tumor calculated by the proposed method will be compared with the volume calculated by the VOCAL(TM) software with the physician's manually drawn shape and it shows that the performance of our method is satisfactory.
引用
收藏
页码:1571 / 1581
页数:11
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