Perperidis Antonios, Thomas David, Averkiou Michalakis, Duncan Colin, McNeilly Alan, Butler Mairead, Sboros Vassilis
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:5076-9. doi: 10.1109/EMBC.2014.6944766.
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.
微血管密度(MVD)是一种已确立的生物标志物,可用于预测许多与微血管网络异常相关疾病的预后。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,目前用于MVD定量的金标准(正电子发射断层扫描)因其高成本和潜在健康危害而未在临床实践中使用。超声造影(CEUS)成像可提供一种有吸引力的替代方法。然而,成像组织中较大血管与微血管之间的区分有限,限制了CEUS的准确性和可靠性。本研究提出了一种新颖的全自动技术,可在CEUS成像组织中将较大血管与微血管区分开来。绵羊黄体(CL)被用作开发和评估所提出技术的体内模型。