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Assessment of hessian-based Frangi vesselness filter in optoacoustic imaging.
Photoacoustics ( IF 7.9 ) Pub Date : 2020-07-13 , DOI: 10.1016/j.pacs.2020.100200
Antonia Longo 1, 2, 3 , Stefan Morscher 3 , Jaber Malekzadeh Najafababdi 1, 2 , Dominik Jüstel 1, 2 , Christian Zakian 1, 2 , Vasilis Ntziachristos 1, 2
Affiliation  

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 in vivo. 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.



中文翻译:

评估基于黑森州的Frangi血管滤镜在光声成像中的作用。

基于Hessian的Frangi血管过滤器通常用于增强光声(光声)图像中的脉管系统,但从未对其准确性和局限性进行过严格的评估。在这里,我们验证了过滤器增强幻象中血管状结构的能力,并介绍了一种实验方法,该方法使用了金纳米棒(AuNRs)施用前后的测量值来检查体内的过滤器性能。我们评估对比度,滤镜比例,断层层析成像的覆盖范围,平面外信号和光通量对图像质量的影响,并深入了解滤镜的性能。我们观察到可能被误解为血管的人为结构的产生,并提供建议以确保正确使用Frangi和其他血管过滤器,并避免对后处理的光声图像进行误解。

更新日期:2020-07-13
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