Efficient Semiautomatic Segmentation of 3D Objects in Medical Images

Abstract. We present a fast and accurate tool for semiautomatic segmentation of volumetric medical images based on the live wire algorithm, shape-based interpolation and a new optimization method. While the user-steered live wire algorithm represents an efficient, precise and reproducible method for interactive segmentation of selected twodimensional images, the shape-based interpolation allows the automatic approximation of contours on slices between user-defined boundaries. The combination of both methods leads to accurate segmentations with significantly reduced user interaction time. Moreover, the subsequent automated optimization of the interpolated object contours results in a better segmentation quality or can be used to extend the distances between user-segmented images and for a further reduction of interaction time. Experiments were carried out on hepatic computer tomographies from three different clinics. The results of the segmentation of liver parenchyma have shown that th...

• Type: Conference
• Year: 2000
• Where: MICCAI
• Authors: Andrea Schenk, Guido P. M. Prause, Heinz-Otto Peitgen
• Keywords: Interaction Time, Live Wire Algorithm, Medical Imaging, MICCAI 2000, Shape-based Interpolation