三维医学图像可视化研究综述

Health data science Pub Date : 2022-04-05 eCollection Date: 2022-01-01 DOI:10.34133/2022/9840519
Liang Zhou, Mengjie Fan, Charles Hansen, Chris R Johnson, Daniel Weiskopf
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引用次数: 0

摘要

的重要性。医学图像是现代医学的重要组成部分,是可视化领域的重要研究课题。然而,医学专家往往没有意识到许多先进的三维(3D)医学图像可视化技术,这些技术可以提高他们在数据分析方面的能力,并协助特定医疗问题的决策过程。本文综述了医学图像的三维可视化技术,旨在弥合医学专家和可视化研究人员之间的差距。高光。从计算机断层扫描到弥散张量成像,我们重新审视了各种医学成像模式的基本可视化技术,这些技术增强了空间感知,这对医学实践至关重要。医学可视化的最新进展是基于一个面向程序的医学问题分类的个人和群体的研究。本文总结了为各种目的而设计的不同模式的医学图像的免费软件工具,包括可视化、分析和分割,并提供了相应的互联网链接。结论。可视化技术是医学专家在日常工作中解决具体医疗问题的有用工具。我们的审查提供了一个快速的参考,这些技术给出了医学问题和模式的相关医学图像。我们总结了基本技术和现成的可视化工具,以帮助医学专家更好地理解和利用医学成像数据。本文可以为医学和可视化界共同努力推进精准医学做出贡献。
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A Review of Three-Dimensional Medical Image Visualization.

Importance. Medical images are essential for modern medicine and an important research subject in visualization. However, medical experts are often not aware of the many advanced three-dimensional (3D) medical image visualization techniques that could increase their capabilities in data analysis and assist the decision-making process for specific medical problems. Our paper provides a review of 3D visualization techniques for medical images, intending to bridge the gap between medical experts and visualization researchers.Highlights. Fundamental visualization techniques are revisited for various medical imaging modalities, from computational tomography to diffusion tensor imaging, featuring techniques that enhance spatial perception, which is critical for medical practices. The state-of-the-art of medical visualization is reviewed based on a procedure-oriented classification of medical problems for studies of individuals and populations. This paper summarizes free software tools for different modalities of medical images designed for various purposes, including visualization, analysis, and segmentation, and it provides respective Internet links.Conclusions. Visualization techniques are a useful tool for medical experts to tackle specific medical problems in their daily work. Our review provides a quick reference to such techniques given the medical problem and modalities of associated medical images. We summarize fundamental techniques and readily available visualization tools to help medical experts to better understand and utilize medical imaging data. This paper could contribute to the joint effort of the medical and visualization communities to advance precision medicine.

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