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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >A multiparametric and multiresolution segmentation algorithm of 3D ultrasonic data
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A multiparametric and multiresolution segmentation algorithm of 3D ultrasonic data

机译：3D超声数据的多参数多分辨率分割算法

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摘要

An algorithm devoted to the segmentation of 3-D ultrasonic data is proposed. The algorithm involves 3-D adaptive clustering based on multiparametric information: the gray-scale intensity of the echographic data, 3-D texture features calculated from the envelope data, and 3-D tissue characterization information calculated from the local frequency spectra of the radio-frequency signals. The segmentation problem is formulated as a maximum a posterior (MAP) estimation problem. A multi-resolution implementation of the algorithm is proposed. The approach is tested on simulated data and on in vivo echocardiographic 3-D data. The results presented in the paper illustrate the robustness and the accuracy of the proposed approach for the segmentation of ultrasonic data.
机译：提出了一种用于3-D超声数据分割的算法。该算法涉及基于多参数信息的3-D自适应聚类：回波图像数据的灰度强度，根据包络数据计算出的3-D纹理特征以及根据无线电的本地频谱计算出的3-D组织特征信息频率信号。分割问题被表述为最大后验（MAP）估计问题。提出了该算法的多分辨率实现。该方法已在模拟数据和体内超声心动图3-D数据上进行了测试。本文提出的结果说明了超声数据分割方法的鲁棒性和准确性。

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