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三维医学图像可视化综述

A Review of Three-Dimensional Medical Image Visualization.

作者信息

Zhou Liang, Fan Mengjie, Hansen Charles, Johnson Chris R, Weiskopf Daniel

机构信息

National Institute of Health Data Science, Peking University, Beijing, China.

Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA.

出版信息

Health Data Sci. 2022 Apr 5;2022:9840519. doi: 10.34133/2022/9840519. eCollection 2022.

Abstract

. 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.. 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.. 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.

摘要

医学图像对现代医学至关重要,也是可视化领域的一个重要研究课题。然而,医学专家往往并不了解许多先进的三维(3D)医学图像可视化技术,这些技术可以增强他们的数据分析能力,并辅助针对特定医学问题的决策过程。我们的论文对医学图像的3D可视化技术进行了综述,旨在弥合医学专家与可视化研究人员之间的差距。针对从计算机断层扫描到扩散张量成像等各种医学成像模态,重新审视了基础可视化技术,重点介绍了增强空间感知的技术,这对医学实践至关重要。基于针对个体和人群研究的医学问题的面向过程分类,对医学可视化的现状进行了综述。本文总结了针对不同目的设计的用于不同模态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。可视化技术是医学专家在日常工作中解决特定医学问题的有用工具。我们的综述根据医学问题和相关医学图像的模态,为这些技术提供了快速参考。我们总结了基础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。本文有助于医学和可视化社区共同努力推进精准医学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7c0/10880180/e7d52bca2f1e/9840519.fig.001.jpg

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