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Flexible occlusion rendering for improved views of three-dimensional medical images.

机译:灵活的遮挡渲染,可改善三维医学图像的视图。

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摘要

The goal of this work is to enable more rapid and accurate diagnosis of pathology from three-dimensional (3D) medical images by augmenting standard volume rendering techniques to display otherwise-occluded features within the volume. When displaying such data sets with volume rendering, appropriate selection of the transfer function is critical for determining which features of the data will be displayed. In many cases, however, no transfer function is able to produce the most useful views for diagnosis of pathology.; Flexible Occlusion Rendering (FOR) is an addition to standard ray cast volume rendering that modulates accumulated color and opacity along each ray upon detecting features indicating the separation between objects of the same intensity range. For contrast-enhanced MRI and CT data, these separation features are intensity peaks. To detect these peaks, a dual-threshold method is used to reduce sensitivity to noise. To further reduce noise and enable control over the spatial scale of the features detected, a smoothed version of the original data set is used for feature detection, while rendering the original data at high resolution. Separating the occlusion feature detection from the volume rendering transfer function enables robust occlusion determination and seamless transition from occluded views to non-occluded views of surfaces during virtual flythroughs.; FOR has been applied to virtual arthroscopy of joints from MRI data. For example, survey views of entire shoulder socket surfaces have been rendered to enable rapid evaluation by automatically removing the occluding material of the humeral head. Such views are not possible with standard volume rendering. FOR has also been successfully applied to virtual ureteroscopy of the renal collecting system from CT data, and knee fracture visualization from CT data.
机译:这项工作的目的是通过增强标准体积渲染技术以显示体积内否则被遮挡的特征,从而从三维(3D)医学图像中更快速,准确地诊断病理。使用体积渲染显示此类数据集时,正确选择传递函数对于确定将显示哪些数据特征至关重要。然而,在许多情况下,没有传递函数能够产生用于诊断病理学的最有用的视图。灵活遮挡渲染(FOR)是标准射线投射体积渲染的附加功能,可在检测到指示相同强度范围的对象之间分离的特征时,沿每条射线调节累积的颜色和不透明度。对于增强的MRI和CT数据,这些分离特征是强度峰。为了检测这些峰值,使用双阈值方法来降低对噪声的敏感性。为了进一步减少噪声并实现对检测到的特征的空间尺度的控制,将原始数据集的平滑版本用于特征检测,同时以高分辨率渲染原始数据。将遮挡特征检测与体积渲染传递函数分开,可以进行可靠的遮挡确定,并在虚拟飞越期间从遮挡视图无缝过渡到非遮挡视图。 FOR已从MRI数据应用于关节的虚拟关节镜检查。例如,已经绘制了整个肩窝表面的勘测视图,以通过自动移除肱骨头的阻塞材料来进行快速评估。使用标准体积渲染无法实现此类视图。 FOR也已成功应用于从CT数据到肾脏采集系统的虚拟输尿管镜检查,以及从CT数据显示的膝盖骨折的可视化。

著录项

  • 作者

    Borland, David.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 172 p.
  • 总页数 172
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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