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Interactive Visualization of Ultrasound Image Volumes for Oncologic Diagnostics

机译:超声图像体积的交互式可视化,用于肿瘤诊断

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In today's computer assisted diagnostics, high-value 3-D imaging modalities are commonly used, since they permit differentiation between normal anatomical and pathological structures and also show their spatial relationships. While 2-D imaging leaves spatial relationships unclear, 3-D volume visualization can give clear insights into spatial relationships, but needs sophisticated visualization techniques and experienced interactive and tedious setting of parameters. Iso-surface rendering, direct volume rendering, and surface reconstruction are established techniques and are applied to CT and MR I image volumes for identification of vessels - used as anatomical landmarks - and tumors. Their visualizations are evaluated and compared to those of semi-automatically segmented 3-D ultrasound image volumes of the same anatomical structures. Even in CT and MRI, which have higher contrast than noisy ultrasound image volumes, vessels and tumorous lymph nodes can only be delineated with time consuming interaction. In comparison, semi-automatically segmented 3-D ultrasound image volumes present similar or even superior visualizations, but necessitate specifically adapted delineation algorithms. Their development is only worthwile, if inter-patient reproducibility and - as far as possible - artifact-free imaging conditions can be assured.
机译:在当今的计算机辅助诊断中,通常使用高价值的3D成像模式,因为它们可以区分正常的解剖结构和病理结构,并显示它们的空间关系。虽然2D成像使空间关系不清楚,但是3D体积可视化可以提供对空间关系的清晰见解,但是需要复杂的可视化技术以及经验丰富的交互式和繁琐的参数设置。等值面渲染,直接体积渲染和表面重建是已建立的技术,并应用于CT和MR I图像体积,以识别用作解剖标志的血管和肿瘤。对它们的可视化进行了评估,并将其与相同解剖结构的半自动分割的3D超声图像体积的可视化进行比较。即使在CT和MRI中(其对比度要高于嘈杂的超声图像量),也只能通过耗时的交互作用来描绘血管和肿瘤淋巴结。相比之下,半自动分割的3D超声图像量具有相似甚至更好的可视化效果,但需要专门调整的轮廓算法。如果能够确保患者之间的可重复性以及(尽可能)确保无伪影的成像条件,那么它们的发展才是值得的。

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