白质不确定性可视化对神经外科决策的影响。

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING IEEE Computer Graphics and Applications Pub Date : 2024-09-27 DOI:10.1109/MCG.2024.3462926
Faizan Siddiqui, H Bart Brouwers, Geert-Jan Rutten, Thomas Hollt, Anna Vilanova
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引用次数: 0

摘要

纤维追踪是一种强大的技术,可帮助人们深入了解大脑白质结构。尽管这项技术潜力巨大,但其固有的不确定性限制了它在临床上的广泛应用。这些不确定性可能会妨碍神经外科医生在术前、术中和术后做出临床决策。目前已开发出许多可视化不确定性的技术,但这些不确定性可视化技术是否会影响神经外科决策的证据却很有限。在本文中,我们评估了纤维追踪中的不确定性可视化是否会影响神经外科医生的决策以及对其决策的信心这一假设。为此,我们通过在线互动问卷设计了一项用户研究,评估不确定性可视化对神经外科决策的影响。这项研究的结果强调了不确定性可视化在临床决策中的重要性,突出了不确定性可视化在关键临床决策中不同区间的影响。
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Effect of white matter uncertainty visualization in neurosurgical decision making.

Fiber tracking is a powerful technique that provides insight into the brain's white matter structure. Despite its potential, the inherent uncertainties limit its widespread clinical use. These uncertainties potentially hamper the clinical decisions neurosurgeons have to make before, during, and after the surgery. Many techniques have been developed to visualize uncertainties, however, there is limited evidence to suggest whether these uncertainty visualization influences neurosurgical decision-making. In this paper, we evaluate the hypothesis that uncertainty visualization in fiber tracking influences neurosurgeon's decisions and the confidence in their decisions. For this purpose, we designed a user study through an online interactive questionnaire and evaluate the influence of uncertainty visualization in neurosurgical decision-making. The results of this study emphasize the importance of uncertainty visualization in clinical decision making by highlighting the influence of different interval of uncertainty visualization in critical clinical decisions.

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来源期刊
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications 工程技术-计算机:软件工程
CiteScore
3.20
自引率
5.60%
发文量
160
审稿时长
>12 weeks
期刊介绍: IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.
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