Longo Antonia, Morscher Stefan, Najafababdi Jaber Malekzadeh, Jüstel Dominik, Zakian Christian, Ntziachristos Vasilis
Chair of Biological Imaging and TranslaTUM, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany.
Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany.
Photoacoustics. 2020 Jul 13;20:100200. doi: 10.1016/j.pacs.2020.100200. eCollection 2020 Dec.
The Hessian-based Frangi vesselness filter is commonly used to enhance vasculature in optoacoustic (photoacoustic) images, but its accuracy and limitations have never been rigorously assessed. Here we validate the ability of the filter to enhance vessel-like structures in phantoms, and we introduce an experimental approach that uses measurements before and after the administration of gold nanorods (AuNRs) to examine filter performance . We evaluate the influence of contrast, filter scales, angular tomographic coverage, out-of-plane signals and light fluence on image quality, and gain insight into the performance of the filter. We observe the generation of artifactual structures that can be misinterpreted as vessels and provide recommendations to ensure appropriate use of Frangi and other vesselness filters and avoid misinterpretation of post-processed optoacoustic images.
基于黑塞矩阵的弗朗吉血管性滤波器通常用于增强光声图像中的血管系统,但其准确性和局限性从未得到过严格评估。在此,我们验证了该滤波器增强体模中血管样结构的能力,并引入了一种实验方法,该方法利用注射金纳米棒(AuNRs)前后的测量结果来检验滤波器性能。我们评估对比度、滤波器尺度、角向断层扫描覆盖范围、平面外信号和光通量对图像质量的影响,并深入了解该滤波器的性能。我们观察到会产生可能被误判为血管的伪像结构,并提供建议以确保正确使用弗朗吉滤波器和其他血管性滤波器,避免对后处理光声图像的误判。