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Automatic dissociation between microvasculature and larger vessels for ultrasound contrast imaging

机译:微血管和较大血管之间的自动分离,用于超声造影成像

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Microvasculature density (MVD) provides an established biomarker for the prognosis of numerous diseases associated with abnormal microvascular networks. The accurate, robust and timely assessment of MVD changes facilitates disease detection, treatment monitoring and patient stratification. Nevertheless, the current gold standard (PET) for MVD quantification is not used in clinical practice due to its high costs and potential health hazards. Contrast Enhanced Ultrasound (CEUS) imaging can provide an attractive alternative. However, the limited dissociation between larger vessels and microvasculature in the imaged tissues limits the accuracy and robustness of CEUS. This study proposed a novel, and fully automatic technique that dissociates larger vessels from microvasculature in CEUS imaged tissues. The ovine Corpus Luteum (CL) was used as an in vivo model for the development and assessment of the proposed technique.
机译:微脉管密度(MVD)为与异常微血管网络有关的多种疾病的预后提供了确定的生物标志物。准确,可靠且及时地评估MVD变化有助于疾病检测,治疗监测和患者分层。然而,由于其高成本和潜在的健康危害,目前用于MVD量化的金标准(PET)尚未在临床实践中使用。对比增强超声(CEUS)成像可以提供有吸引力的替代方法。然而,在成像的组织中较大的血管和微脉管系统之间有限的分离限制了CEUS的准确性和鲁棒性。这项研究提出了一种新颖的,全自动的技术,该技术可以在CEUS成像的组织中将较大的血管与微脉管分离。绵羊黄体(CL)被用作体内模型,用于开发和评估所提出的技术。

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