Visualising Spatio-Temporal Gaze Characteristics for Exploratory Data Analysis in Clinical Fetal Ultrasound Scans

Clare Teng, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Visualising patterns in clinicians' eye movements while interpreting fetal ultrasound imaging videos is challenging. Across and within videos, there are differences in size and position of Areas-of-Interest (AOIs) due to fetal position, movement and sonographer skill. Currently, AOIs are manually labelled or identified using eye-tracker manufacturer specifications which are not study specific. We propose using unsupervised clustering to identify meaningful AOIs and bi-contour plots to visualise spatio-temporal gaze characteristics. We use Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) to identify the AOIs, and use their corresponding images to capture granular changes within each AOI. Then we visualise transitions within and between AOIs as read by the sonographer. We compare our method to a standardised eye-tracking manufacturer algorithm. Our method captures granular changes in gaze characteristics which are otherwise not shown. Our method is suitable for exploratory data analysis of eye-tracking data involving multiple participants and AOIs.

Original languageEnglish
Title of host publicationProceedings - ETRA 2022
Subtitle of host publicationACM Symposium on Eye Tracking Research and Applications
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450392525
DOIs
StatePublished - 8 Jun 2022
Event2022 ACM Symposium on Eye Tracking Research and Applications, ETRA 2022 - Virtual, Online, United States
Duration: 8 Jun 202211 Jun 2022

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference2022 ACM Symposium on Eye Tracking Research and Applications, ETRA 2022
Country/TerritoryUnited States
CityVirtual, Online
Period8/06/2211/06/22

Funding

FundersFunder number
Oxford Partnership Comprehensive Biomedical Research Centre
Manchester Biomedical Research Centre
NIHR Imperial Biomedical Research Centre

    Keywords

    • data visualisation
    • eye-tracking
    • fetal ultrasound video
    • spatio-temporal characteristics

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