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Interactive four-dimensional segmentation of multiple image sets

机译:多个图像集的交互式四维分割

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We have developed a software tool for interactive visualization and 4D segmentation of multiple sets of images. The segmentation process uses a predefined anatomical template of the structure of interest represented as a polygonal mesh in 3D. This can be obtained from a library of normal or diseased anatomies, or if available, a surface generated from the patient's previous studies can be used. The user then deforms the template so that it correctly delineates the region of interest in the underlying images. These deformations can be constrained to maintain spatial and temporal smoothness as is expected in the underlying anatomy. A unique feature of this analysis package is that multiple non-coplanar image sets can be used concurrently to generate accurate contours. This feature is particularly useful in contouring long axis and short axis images of the heart simultaneously. By generating a reliable segmentation from a substrate of images in space and time, we can automatically contour the structure in the remaining images through appropriate interpolation, and thereby significantly reduce the total segmentation time.
机译:我们开发了一种用于多组图像的交互式可视化和4D分段的软件工具。分割过程使用所描述的感兴趣结构的预定义解剖模板,其表示为3D的多边形网格。这可以从正常或患病解剖学库中获得,或者如果可用,可以使用从患者以前的研究中产生的表面。然后,用户将模板变形,以便正确地描绘底层图像中的感兴趣区域。这些变形可以被约束以保持在潜在的解剖学中预期的空间和时间光滑度。该分析包的唯一特征是可以同时使用多个非共平板图像集以生成准确的轮廓。该特征在同时轮廓的长轴和短轴图像的轮廓和短轴图像中特别有用。通过从空间和时间的图像的基板产生可靠的分割,我们可以通过适当的插值自动地轮廓在剩余图像中,从而显着降低总分段时间。

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