应用B样条活动曲线模型实现超声图像的分割

摘要

超声图像由于质量较差无法实现全自动的分割方法.提出了一个新的超声图像的半自动分割方法.该方法把用户交互作为一个重要因素结合到传统的B样条活动曲线模型中.这种半自动的分割方法仅需少量的用户交互,特点是:通过用户交互,规范B样条活动曲线模型,约束曲线的活动形状和范围;引入新的规则使B样条活动曲线迅速移动到用户指定的正确边界处;并且通过观察被用户接受的边界实时地训练模型.该方法是一个快速、有效的超声图像分割方法,尤其适用于连续多个相关超声图像的处理,现已成功地运用到肝肿瘤手术仿真系统当中.%Due to the poor quality of ultrasound images, fully automatic segmentation methods are not feasible. This article describes a novel approach to the semiautomatic segmentation of ultrasound images.Although user interaction is not required much, it is used as an important factor and incorporated into the traditional B-spline snake models. The modified model is called an interactive B-snake model because the movement of the active contour is constrained through user interaction. By introducing a set of moving rules, B spline segments are moved to the desired boundary directly. The statistical models are trained on-the-fly by observing boundaries accepted by the user. The resulting algorithm is especially useful when dealing with successive slices and provides fast, reliable and verifiable segmentation in ultrasound images. The algorithm has been used successfully on the Liver Tumor Surgical Simulation System.