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Parametric imaging of tumor perfusion and neovascular morphology using ultrasound

机译：用超声肿瘤灌注和新生血管形态的参数成像

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A new image processing strategy is detailed for the simultaneous measurement of tumor perfusion and neovascular morphology parameters from a sequence of dynamic contrast-enhanced ultrasound (DCE-US) images. A technique for locally mapping tumor perfusion parameters using skeletonized neovascular data is also introduced. Simulated images were used to test the neovascular skeletonization technique and variance (error) of relevant parametric estimates. Preliminary DCE-US image datasets were collected in 6 female patients diagnosed with invasive breast cancer and using a Philips iU22 ultrasound system equipped with a L9-3 MHz transducer and Definity contrast agent. Simulation data demonstrates that neovascular morphology parametric estimation is reproducible albeit measurement error can occur at a lower signal-to-noise ratio (SNR). Experimental results indicate the feasibility of our approach to performing both tumor perfusion and neovascular morphology measurements from DCE-US images. Future work will expand on our initial clinical findings and also extent our image processing strategy to 3-dimensional space to allow whole tumor characterization.
机译：详细的一种新的图像处理策略，用于同时测量来自一系列动态对比增强超声（DCE-US）图像的肿瘤灌注和新生血管形态参数。还介绍了使用骨架化新血管数据局部映射肿瘤灌注参数的技术。模拟图像用于测试相关参数估计的新血管骨架化技术和方差（误差）。初步DCE-US图像数据组中6名诊断患有侵入性乳腺癌和使用装备有L9-3兆赫传感器和的Definity造影剂飞利浦IU22超声系统女性患者收集。模拟数据表明，新血管形态参数估计是可再现的，尽管测量误差可以以较低的信噪比（SNR）发生。实验结果表明我们对DCE-US图像进行肿瘤灌注和新生血管形态测量的方法的可行性。未来的工作将在我们的初始临床调查结果中扩展，并且在某种程度上我们的图像处理策略到三维空间，以允许全肿瘤表征。

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