Wiecławek Wojciech, Pietka Ewa
Division of Biomedical Electronics, Institute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland.
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:5646-9. doi: 10.1109/IEMBS.2007.4353627.
Three-dimensional (3D) segmentation has become an essential part of volumetric image analysis. The methodology is based on the Live-Wire approach implemented in two-dimensional (2D) scene, yet two significant modifications have been employed. The wavelet-based cost map has improved the segmentation accuracy, whereas the Fuzzy C-Means (FCM) clustering procedure has shrunk the area to be searched, and thus has lower the numerical complexity. The 3D segmentation has been obtained by implementing the FCM clustering procedure with morphological operations. It does not require users interaction. The method has been employed to Magnetic Resonance Imaging (MRI) and X-Ray Computed Tomography (CT) studies. Additionally, noise resistance of the 3D approach has been measured.
三维(3D)分割已成为容积图像分析的重要组成部分。该方法基于在二维(2D)场景中实现的活线法,但进行了两项重大改进。基于小波的成本图提高了分割精度,而模糊C均值(FCM)聚类过程缩小了搜索区域,从而降低了数值复杂度。通过将FCM聚类过程与形态学操作相结合实现了3D分割。它不需要用户交互。该方法已应用于磁共振成像(MRI)和X射线计算机断层扫描(CT)研究。此外,还测量了3D方法的抗噪性。