Yang Hong, Jüstel Dominik, Prakash Jaya, Karlas Angelos, Helfen Anne, Masthoff Max, Wildgruber Moritz, Ntziachristos Vasilis
Institute of Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany.
Chair of Biological Imaging and TranslaTUM, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany.
Photoacoustics. 2020 Mar 10;19:100172. doi: 10.1016/j.pacs.2020.100172. eCollection 2020 Sep.
Using the same ultrasound detector, hybrid optoacoustic-ultrasound (OPUS) imaging provides concurrent scans of tissue slices or volumes and visualizes complementary sound- and light-based contrast at similar resolutions. In addition to the benefit of hybrid contrast, spatial co-registration enables images from one modality to be employed as prior information for improving an aspect of the performance of the other modality. We consider herein a handheld OPUS system and utilize structural information from ultrasound images to guide regional Laplacian regularization-based reconstruction of optoacoustic images. Using phantoms and data from OPUS scans of human radial and carotid arteries, we show that ultrasound-driven optoacoustic inversion reduces limited-view artefacts and improves image contrast. In phantoms, prior-integrated reconstruction leads to a 50 % higher contrast-to-noise ratio (CNR) of the image than standard reconstruction, and a 17 % higher structural similarity (SSIM) index. In clinical data, prior-integrated reconstruction detects deep-seated radial arteries with higher CNR than the standard method at three different depths. In this way, the prior-integrated method offers unique insights into atherosclerotic carotid plaques in humans (with p<0.01 between patients and healthy volunteers), potentially paving the way for new abilities in vascular imaging and more generally in optoacoustic imaging.
使用相同的超声探测器,混合光声 - 超声(OPUS)成像可对组织切片或体积进行同步扫描,并以相似分辨率呈现基于声音和光的互补对比度。除了混合对比度的优势外,空间配准还能使一种模态的图像用作先验信息,以改善另一种模态的性能。我们在此考虑一种手持式OPUS系统,并利用超声图像的结构信息来指导基于区域拉普拉斯正则化的光声图像重建。通过使用人体桡动脉和颈动脉的OPUS扫描的体模和数据,我们表明超声驱动的光声反演可减少有限视角伪影并改善图像对比度。在体模中,先验积分重建导致图像的对比度噪声比(CNR)比标准重建高50%,结构相似性(SSIM)指数高17%。在临床数据中,先验积分重建在三个不同深度检测深层桡动脉时,其CNR高于标准方法。通过这种方式,先验积分方法为人类动脉粥样硬化颈动脉斑块提供了独特的见解(患者与健康志愿者之间p<0.01),可能为血管成像以及更广泛的光声成像中的新能力铺平道路。