Eindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Dep, The Netherlands.
Catharina Hospital, Eindhoven, The Netherlands.
J Biomed Opt. 2021 Nov;26(11). doi: 10.1117/1.JBO.26.11.116003.
Intraplaque hemorrhage (IPH) is an important indicator of plaque vulnerability. Early detection could aid the prevention of stroke.
We aim to detect IPH with single wavelength PA imaging in vivo and to improve image quality.
We developed a singular value decomposition (SVD)-based filter to detect the nonstationary and stationary components in ultrasound data. A PA mask was created to detect stationary (IPH) sources. The method was tested ex vivo using phantoms and in vivo in patients.
The flow and IPH channels were successfully separated in the phantom data. We can also detect the PA signals from IPH and reject signals from the carotid lumen in vivo. Generalized contrast-to-noise ratio improved in both ex vivo and in vivo in US imaging.
SVD-based filtering can successfully detect IPH using a single laser wavelength, opening up opportunities for more economical and cost-effective laser sources.
斑块内出血 (IPH) 是斑块脆弱性的一个重要指标。早期检测有助于预防中风。
我们旨在通过单波长 PA 成像在体内检测 IPH 并提高图像质量。
我们开发了一种基于奇异值分解 (SVD) 的滤波器来检测超声数据中的非平稳和稳定分量。创建了一个 PA 掩模来检测静止（IPH）源。该方法在体外用体模和体内在患者中进行了测试。
在体模数据中成功分离了血流和 IPH 通道。我们还可以检测到来自 IPH 的 PA 信号，并拒绝体内颈动脉管腔的信号。在 US 成像中，无论是在体外用还是体内用，广义对比度噪声比都得到了改善。
基于 SVD 的滤波可以使用单个激光波长成功检测 IPH，为更经济、更具成本效益的激光源开辟了机会。
