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Biomedical image visualization research using the Visible Human Datasets.

机译:使用可见人类数据集的生物医学图像可视化研究。

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摘要

The practice of medicine and conduct of research in major segments of the biologic sciences have always relied on visualizations to study the relationship of anatomic structure to biologic function. Traditionally, these visualizations have either been direct, via vivisection and postmortem examination, or have required extensive mental reconstruction. The revolutionary capabilities of 3-D and 4-D medical imaging modalities, together with computer reconstruction and rendering of multidimensional medical and histological volume image data, obviate the need for physical dissection or abstract assembly. The availability of the Visible Human Datasets from the National Library of Medicine, coupled with the development of advanced computer algorithms to accurately and rapidly process, segment, register, measure, and display high resolution 3-D images, has provided a rich opportunity to help advance these important new imaging, visualization, and analysis methodologies from scientific theory to clinical practice.
机译:生物科学的主要领域的医学实践和研究活动始终依靠可视化来研究解剖结构与生物功能的关系。传统上,这些可视化要么通过活体切片和验尸检查直接进行,要么需要大量的心理重建。 3-D和4-D医学成像模式的革命性功能,以及计算机重建和多维医学和组织学体图像数据的渲染,无需进行物理解剖或抽象组装。国家医学图书馆提供的可见人类数据集,再加上先进的计算机算法的开发,可以准确,快速地处理,分割,注册,测量和显示高分辨率3D图像,这提供了丰富的机会来帮助将这些重要的新成像,可视化和分析方法论从科学理论推广到临床实践。

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