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眼动追踪数据在脑磁共振成像筛查过程中的时空域分析。

Spatial and time domain analysis of eye-tracking data during screening of brain magnetic resonance images.

机构信息

Computational NeuroSurgery (CNS) Lab, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia.

School of Psychological Sciences, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, Australia.

出版信息

PLoS One. 2021 Dec 2;16(12):e0260717. doi: 10.1371/journal.pone.0260717. eCollection 2021.

Abstract

INTRODUCTION

Eye-tracking research has been widely used in radiology applications. Prior studies exclusively analysed either temporal or spatial eye-tracking features, both of which alone do not completely characterise the spatiotemporal dynamics of radiologists' gaze features.

PURPOSE

Our research aims to quantify human visual search dynamics in both domains during brain stimuli screening to explore the relationship between reader characteristics and stimuli complexity. The methodology can be used to discover strategies to aid trainee radiologists in identifying pathology, and to select regions of interest for machine vision applications.

METHOD

The study was performed using eye-tracking data 5 seconds in duration from 57 readers (15 Brain-experts, 11 Other-experts, 5 Registrars and 26 Naïves) for 40 neuroradiological images as stimuli (i.e., 20 normal and 20 pathological brain MRIs). The visual scanning patterns were analysed by calculating the fractal dimension (FD) and Hurst exponent (HE) using re-scaled range (R/S) and detrended fluctuation analysis (DFA) methods. The FD was used to measure the spatial geometrical complexity of the gaze patterns, and the HE analysis was used to measure participants' focusing skill. The focusing skill is referred to persistence/anti-persistence of the participants' gaze on the stimulus over time. Pathological and normal stimuli were analysed separately both at the "First Second" and full "Five Seconds" viewing duration.

RESULTS

All experts were more focused and a had higher visual search complexity compared to Registrars and Naïves. This was seen in both the pathological and normal stimuli in the first and five second analyses. The Brain-experts subgroup was shown to achieve better focusing skill than Other-experts due to their domain specific expertise. Indeed, the FDs found when viewing pathological stimuli were higher than those in normal ones. Viewing normal stimuli resulted in an increase of FD found in five second data, unlike pathological stimuli, which did not change. In contrast to the FDs, the scanpath HEs of pathological and normal stimuli were similar. However, participants' gaze was more focused for "Five Seconds" than "First Second" data.

CONCLUSIONS

The HE analysis of the scanpaths belonging to all experts showed that they have greater focus than Registrars and Naïves. This may be related to their higher visual search complexity than non-experts due to their training and expertise.

摘要

简介

眼动追踪研究在放射学应用中得到了广泛应用。先前的研究仅分析了时间或空间眼动追踪特征,两者都不能完全描述放射科医生注视特征的时空动态。

目的

我们的研究旨在量化大脑刺激筛查过程中两个领域的人类视觉搜索动态,以探索读者特征与刺激复杂性之间的关系。该方法可用于发现帮助受训放射科医生识别病理学的策略,并为机器视觉应用选择感兴趣的区域。

方法

该研究使用来自 57 名读者(15 名脑专家、11 名其他专家、5 名住院医师和 26 名新手)的持续 5 秒的眼动追踪数据,对 40 张神经放射图像作为刺激(即 20 张正常和 20 张病理性脑 MRI)。通过使用重标极差(R/S)和去趋势波动分析(DFA)方法计算分形维数(FD)和赫斯特指数(HE)来分析视觉扫描模式。FD 用于测量注视模式的空间几何复杂性,HE 分析用于测量参与者的聚焦技能。参与者的聚焦技能是指随着时间的推移,参与者对刺激的注视持久性/反持久性。对病理性和正常刺激分别在“第一秒”和完整的“五秒”观察时间内进行分析。

结果

所有专家都比住院医师和新手更专注,视觉搜索复杂度更高。这在第一秒和五秒的分析中都可以看到,无论是病理性还是正常刺激。由于特定领域的专业知识,脑专家亚组显示出比其他专家更好的聚焦技能。事实上,观察病理性刺激时发现的 FDs 高于正常刺激。与病理性刺激不同,观察正常刺激会导致五秒数据中 FD 的增加,而不会改变。与 FDs 相反,病理性和正常刺激的扫描路径 HEs 相似。然而,与第一秒数据相比,参与者的注视在五秒数据中更加集中。

结论

属于所有专家的扫描路径的 HE 分析表明,他们比住院医师和新手更专注。这可能与他们的视觉搜索复杂性高于非专家有关,因为他们的培训和专业知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/421b/8639086/9c10d595ef26/pone.0260717.g001.jpg

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