Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6184
Main Title: Image size influences visual search and perception of hemorrhages when reading Cranial CT: an eye-tracking study
Author(s): Venjakob, Antje C.
Marnitz, Tim
Phillips, Peter
Mello-Thoms, Claudia R.
Type: Article
Language Code: en
Abstract: Objective: The aim of this study was to explore reader gaze, performance, and preference during interpretation of cranial computed tomography (cCT) in stack mode at two different sizes. Background: Digital display of medical images allows for the manipulation of many imaging factors, like image size, by the radiologists, yet it is often not known what display parameters better suit human perception. Method: Twenty-one radiologists provided informed consent to be eye tracked while reading 20 cCT cases. Half of these cases were presented at a size of 14 x 14 cm (512 x 512 pixels), half at 28 x 28 cm (1,024 x 1,024 pixels). Visual search, performance, and preference for the two image sizes were assessed. Results: When reading small images, significantly fewer, but longer, fixations were observed, and these fixations covered significantly more slices. Time to first fixation of true positive findings was faster in small images, but dwell time on true findings was longer. Readers made more false positive decisions in small images, but no overall difference in either jackknife alternative free-response receiver operating characteristic or reading time was found. Conclusion: Overall performance is not affected by image size. However, small-stack-mode cCT images may better support the use of motion perception and acquiring an overview, whereas large-stack-mode cCT images seem better suited for detailed analyses. Application: Subjective and eye-tracking data suggest that image size influences how images are searched and that different search strategies might be beneficial under different circumstances.
URI: https://depositonce.tu-berlin.de//handle/11303/6800
http://dx.doi.org/10.14279/depositonce-6184
Issue Date: 2016
Date Available: 23-Oct-2017
DDC Class: 300 Sozialwissenschaften, Soziologie, Anthropologie
610 Medizin, Gesundheit
Subject(s): radiology and medical imaging
eye movements
tracking
visual search
computer interface
Usage rights: Terms of German Copyright Law
Journal Title: Human factors : the journal of the Human Factors Society
Publisher: Sage Publications
Publisher Place: London [u.a.]
Volume: 58
Issue: 3
Publisher DOI: 10.1177/0018720816630450
Page Start: 441
Page End: 451
EISSN: 1547-8181
ISSN: 0018-7208
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Appears in Collections:Fachgebiet Mensch-Maschine-Systeme » Publications

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