IEEE Trans Vis Comput Graph - GazeVis: Interactive 3D Gaze Visualization for Contiguous Cross-sectional Medical Images.

Tópicos

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Resumo

Gaze visualization has been used to understand the results from gaze tracking studies in a wide range of fields. In the medical field, diagnoses of medical images have been studied with gaze tracking technology to understand how radiologists read medical images. While prior work were mainly based on diagnosis with a single image, recent work focused on diagnosis with consecutive cross-sectional medical images acquired from preoperative computed tomography (CT) or magnetic resonance imaging (MRI). In the diagnosis, radiologists scroll through a stack of images to get a 3D cognition of organs and lesions. Thus, it is important to understand radiologists' gaze patterns three dimensionally across such contiguous cross-sectional images. However, little has been done to visualize more complicated gaze patterns from the contiguous cross-sectional medical images. To address this problem, we present an interactive 3D gaze visualization tool, GazeVis, where InfoVis and SciVis techniques are harmonized to show the abstract gaze data along with a realistic 3D rendering of the visual stimuli (i.e. organs and lesions). We present case studies with 12 radiologists who use GazeVis to investigate gaze patterns of their colleagues with different levels of expertise, providing empirical evidences about the competence of our gaze visualization system.

Resumo Limpo

gaze visual use understand result gaze track studi wide rang field medic field diagnos medic imag studi gaze track technolog understand radiologist read medic imag prior work main base diagnosi singl imag recent work focus diagnosi consecut crosssect medic imag acquir preoper comput tomographi ct magnet reson imag mri diagnosi radiologist scroll stack imag get d cognit organ lesion thus import understand radiologist gaze pattern three dimension across contigu crosssect imag howev littl done visual complic gaze pattern contigu crosssect medic imag address problem present interact d gaze visual tool gazevi infovi scivi techniqu harmon show abstract gaze data along realist d render visual stimuli ie organ lesion present case studi radiologist use gazevi investig gaze pattern colleagu differ level expertis provid empir evid compet gaze visual system

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