Exploiting Flow Dynamics for Superresolution in Contrast-Enhanced Ultrasound
Exploiting Flow Dynamics for Superresolution in Contrast-Enhanced Ultrasound
复制标题
利用流动动力学实现超声造影中的超分辨率
DOI:
10.1109/tuffc.2019.2926062
复制
发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Yonina C. Eldar
中科院分区:
文献类型:
--
作者:
Oren Solomon;R. V. van Sloun;H. Wijkstra;M. Mischi;Yonina C. Eldar
Ultrasound (US) localization microscopy offers new radiation-free diagnostic tools for vascular imaging deep within the tissue. Sequential localization of echoes returned from inert microbubbles (MBs) with low concentration within the bloodstream reveals the vasculature with capillary resolution. Despite its high spatial resolution, low MB concentrations dictate the acquisition of tens of thousands of images, over the course of several seconds to tens of seconds, to produce a single superresolved image. Such long acquisition times and stringent constraints on MB concentration are undesirable in many clinical scenarios. To address these restrictions, sparsity-based approaches have recently been developed. These methods reduce the total acquisition time dramatically, while maintaining good spatial resolution in settings with considerable MB overlap. Here, we further improve the spatial resolution and visual vascular reconstruction quality of sparsity-based superresolution US imaging from low-frame rate acquisitions, by exploiting the inherent flow of MBs and utilize their motion kinematics. We also provide quantitative measurements of MB velocities and show that our approach achieves higher MB recall rate than the state-of-the-art techniques, while increasing contrast agents concentration. Our method relies on simultaneous tracking and sparsity-based detection of individual MBs in a frame-by-frame manner, and as such, may be suitable for real-time implementation. The effectiveness of the proposed approach is demonstrated on both simulations and an in vivo contrast-enhanced human prostate scan, acquired with a clinically approved scanner operating at a 10-Hz frame rate.
影响因子:
3.8
作者:
O'Reilly, Meaghan A.;Hynynen, Kullervo
通讯作者:
Hynynen, Kullervo
DOI:
10.1007/978-1-4939-7647-8_1
发表时间:
2018
期刊:
Neuromethods
影响因子:
--
作者:
Joshi,AnandA
通讯作者:
Joshi,AnandA