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Eye-tracking for assessing medical image interpretation: A pilot feasibility study comparing novice vs expert cardiologists Cover

Eye-tracking for assessing medical image interpretation: A pilot feasibility study comparing novice vs expert cardiologists

Open Access
|Apr 2019

Figures & Tables

Fig. 1

Mean time spent viewing (in seconds) each video angulation, as a function of the eight participants (2 experts, 6 novices)

Fig. 2

Mean time spent viewing (in seconds) each frame of RAO30, as a function of the eight participants (2 experts, 6 novices)

Table 1

Descriptive statistics

Video

Frame

Number of expert fixations

Number of novice fixations

RAO30

18

= 1.5, s= 0.71

= 5.2, s= 3.1

RAO22

55

= 5.5, s= 3.5

= 2.3, s= 1.6

RAO10

37

= 0, s= 0

= 3.2, s= 2.0

54

x̅ = 5.0, s= 4.24

= 11, s= 12.3

LAO45

27

= 2.0, s= 2.8

= 14.8, s= 19.7

LAO38

27

= 2.0, s= 7.8

= 7.8, s= 5.3

Fig. 3

Sample critical frame derived from the ShotRank methodology, showing frame 54 of RAO10, with a critical ROI depicted as a black rectangle. Right panel shows all frame 54 fixations overlaid, color coded by participant number

Language: English
Published on: Apr 11, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Tad T. Brunyé, Brahmajee K. Nallamothu, Joann G. Elmore, published by Bohn Stafleu van Loghum
This work is licensed under the Creative Commons Attribution 4.0 License.