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首页> 外文期刊>Medical image analysis >Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization
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Ultrasound-contrast-agent dispersion and velocity imaging for prostate cancer localization

机译：超声对比剂分散和前列腺癌定位速度成像

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Prostate cancer (PCa) is the second-leading cause of cancer death in men; however, reliable tools for detection and localization are still lacking. Dynamic Contrast Enhanced UltraSound (DCE-US) is a diagnostic tool that is suitable for analysis of vascularization, by imaging an intravenously injected microbubble bolus. The localization of angiogenic vascularization associated with the development of tumors is of particular interest. Recently, methods for the analysis of the bolus convective dispersion process have shown promise to localize angiogenesis. However, independent estimation of dispersion was not possible due to the ambiguity between convection and dispersion. Therefore, in this study we propose a new method that considers the vascular network as a dynamic linear system, whose impulse response can be locally identified. To this end, model-based parameter estimation is employed, that permits extraction of the apparent dispersion coefficient (D), velocity (v), and Peclet number (Pe) of the system. Clinical evaluation using data recorded from 25 patients shows that the proposed method can be applied effectively to DCE-US, and is able to locally characterize the hemodynamics, yielding promising results (receiver operating-characteristic curve area of 0.84) for prostate cancer localization. (C) 2016 Elsevier B.V. All rights reserved.
机译：前列腺癌（PCA）是男性中癌症死亡的第二名;然而，仍然缺乏可靠的检测和定位工具。动态对比度增强超声（DCE-US）是一种诊断工具，其适用于分析血管化，通过成像静脉内注射的微泡推子。与肿瘤发育相关的血管生成血管化的定位是特别的兴趣。最近，分析推注对流分散过程的方法表明了本地化血管生成的希望。然而，由于对流与分散之间的模糊，不可能独立估计分散体。因此，在本研究中，我们提出了一种新方法，将血管网络作为动态线性系统，其脉冲响应可以在本地识别。为此，采用基于模型的参数估计，允许提取系统的表观分散系数（D），速度（V）和PECLET编号（PE）。使用从25名患者记录的数据的临床评估表明，该方法可以有效地应用于DCE-US，并且能够在血流动力学局部表征，从而产生前列腺癌定位的有希望的结果（接收器操作 - 特征曲线面积为0.84）。 （c）2016年Elsevier B.v.保留所有权利。

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