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Vascular system reconstruction from MR images using active appearance model

机译:使用活动外观模型从MR图像重建血管系统

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Vascular system recognition and spatial reconstruction using MR images consist an important element of modern health care. The developed reconstruction method successfully handles the intensity inhomogeneity or intensity non uniformity (INU), that is an undesired phenomenon during measurement and represents the main obstacle for MR image segmentation and registration methods. The segmentation is realized by a fuzzy c-means (FCM) algorithm together with the INU estimation. The proposed method determines the contours and using a medical knowledge base analysis determines the edges that are parts of the vascular system. Finally a spatial reconstruction is performed from the obtained data. Several MR databases were analyzed, and approximately a 98.5% recognition performance was obtained. The developed method can serve as excellent support for 3-D registration and visualization techniques.
机译:使用MR图像的血管系统识别和空间重建是现代医疗保健的重要组成部分。所开发的重建方法成功地处理了强度不均匀或强度不均匀(INU),这是测量过程中的不良现象,并且代表了MR图像分割和配准方法的主要障碍。通过模糊c均值(FCM)算法和INU估计来实现分割。所提出的方法确定轮廓,并使用医学知识库分析确定作为血管系统一部分的边缘。最后,根据获得的数据进行空间重建。分析了几个MR数据库,并获得了大约98.5%的识别性能。所开发的方法可以为3-D配准和可视化技术提供出色的支持。

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