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Full three-dimensional segmentation and quantification of tumor vessels for photoacoustic images

机译:光声图像肿瘤血管的全三维分割和定量

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Quantitative analysis of tumor vessels is of great significance for tumor staging and diagnosis. Photoacoustic imaging (PAI) has been proven to be an effective way to visualize comprehensive tumor vascular networks in three-dimensional (3D) volume, while previous studies only quantified the vessels projected in one plane. In this study, tumor vessels were segmented and quantified in a full 3D framework. It had been verified in the phantom experiments that the 3D quantification results have better accuracy than 2D. Furthermore, in vivo vessel images were quantified by 2D and 3D quantification methods respectively. And the difference between these two results is significant. In this study, complete vessel segmentation and quantification method within a 3D framework was implemented, which showed obvious advantage in the analysis accuracy of 3D photoacoustic images, and potentially improve tumor study and diagnosis.
机译:肿瘤血管的定量分析对于肿瘤分期和诊断具有重要意义。 已经证明了光声成像(PAI)是一种有效的方法,可在三维(3D)体积中可视化综合肿瘤血管网络,而以前的研究仅量化了在一架平面中投射的血管。 在该研究中,在完整的3D框架中分段并定量肿瘤血管。 在幻像实验中已经验证了3D量化结果具有比2D更好的精度。 此外,体内血管图像分别通过2D和3D量化方法量化。 这两个结果之间的差异很大。 在本研究中,实施了3D框架内的完整血管分割和定量方法,其在3D光声图像的分析准确性中显示出明显的优势,并且可能改善肿瘤研究和诊断。

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