论文标题
形态重建改善了超分辨率超声波中的微血管映射
Morphological Reconstruction Improves Microvessel Mapping in Super-Resolution Ultrasound
论文作者
论文摘要
从循环中单个微泡的连续局部化创建的超声（US）图像的产生超声（US）图像已使微血管结构和流动的可视化以先前不可能的细节级别的可视化。尽管取得了迅速的进展，但空间和时间分辨率之间的权衡可能会挑战这项有前途的技术向诊所的翻译。为了降低这些权衡，我们提出了一种基于形态图像重新收缩的方法。该方法可以从每个图像（312-BY-180像素）的超级增强超声（CEU）图像中提取数百个微泡峰，强度值通过数量级变化。具体而言，它提供了每帧检测到的峰值数量的四倍，需要按100毫秒的处理顺序进行处理，并且对加性电子噪声非常有力（在CEUS图像中降至3.6 dB CNR）。通过将此方法整合到SR框架中，我们在对CEUS进行成像时，证明了空间分辨率的6倍改善。该方法在计算上有效，因此可以扩展到大数据集，可以增强SR-US在成像微血管结构和功能中的能力。
Generation of super-resolution (SR) ultrasound (US) images, created from the successive local-ization of individual microbubbles in the circulation, has enabled the visualization of microvascular structure and flow at a level of detail that was not possible previously. Despite rapid progress, tradeoffs between spatial and temporal resolution may challenge the translation of this promising technology to the clinic. To temper these trade-offs, we propose a method based on morphological image reconstriction. This method can extract from ultrafast contrast-enhanced ultrasound (CEUS) images hundreds of microbubble peaks per image (312-by-180 pixels) with intensity values varying by an order of magnitude. Specifically, it offers a fourfold increase in the number of peaks detected per frame, requires on the order of 100 ms for processing, and is robust to additive electronic noise (down to 3.6 dB CNR in CEUS images). By integrating this method to a SR framework we demonstrate a 6-fold improvement in spatial resolution, as compared to CEUS, in imaging chicken embryo microvessels. This method that is computationally efficient and, thus, scalable to large data sets, may augment the abilities of SR-US in imaging microvascular structure and function.
