Literature DB >> 14530923

Analyzing the eye movement of dentists during their reading of CT images.

K Suwa1, A Furukawa, T Matsumoto, T Yosue.   

Abstract

In order to evaluate the eye movements of dentists when they were interpreting radiographs, ten normal computed tomography (CT) images and ten images with pathologic lesions were shown to eight dentists, and the pattern of their eye movement was qualitatively analyzed. Six fixation point parameters were calculated, including the time required to discriminate between normal and pathologic images (X(1)), the total fixation point count (X(2)), the total travel distance between fixation points (X(3)), the average time spent on each fixation point (X(4)), the total gaze fixation time (X(5)), and the maximum gaze fixation time spent on each image (X(6)). When the subjects were interpreting pathologic images, X(2) and X(4) were shorter; however, when they were viewing normal images, time was spent on observing multiple fixation points before the completion of the interpretive process. While pathologic images were recognized through top-down processing, there was a tendency for normal images to be recognized through bottom-up processing. The results of discriminant analysis, using a linear discriminant function, indicated that the independent variables X(2) and X(4) and the dependent variable X(5) were the only variables that contributed significantly to differentiating between normal and pathologic images. The linear discriminant function was Z = 9.0 x 10(-2) x X(2) + 3.0 x X(4) - 2.1 (discriminant score: Z < 0, pathologic image; Z > or = 0, normal image). When the mean value of each individual's gaze fixation data was substituted into the discriminant formula, the hit rate for normal and pathologic images was discriminated at 94% (15 of 16).

Entities:  

Year:  2001        PMID: 14530923     DOI: 10.1007/s10266-001-8186

Source DB:  PubMed          Journal:  Odontology        ISSN: 1618-1247            Impact factor:   2.634


  5 in total

Review 1.  Review of prospects and challenges of eye tracking in volumetric imaging.

Authors:  Antje C Venjakob; Claudia R Mello-Thoms
Journal:  J Med Imaging (Bellingham)       Date:  2015-09-29

2.  Implementation and initial experience with an interactive eye-tracking system for measuring radiologists' visual search in diagnostic tasks using volumetric CT images.

Authors:  Hao Gong; Scott S Hsieh; David R Holmes; David A Cook; Akitoshi Inoue; David J Bartlett; Francis Baffour; Hiroaki Takahashi; Shuai Leng; Lifeng Yu; Joel G Fletcher; Cynthia H McCollough
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

3.  Viewing patterns regarding panoramic radiographs with different pathological lesions: an eye-tracking study.

Authors:  Dorothea Vogel; Ralf Schulze
Journal:  Dentomaxillofac Radiol       Date:  2021-06-08       Impact factor: 2.419

4.  Where do neurologists look when viewing brain CT images? An eye-tracking study involving stroke cases.

Authors:  Hideyuki Matsumoto; Yasuo Terao; Akihiro Yugeta; Hideki Fukuda; Masaki Emoto; Toshiaki Furubayashi; Tomoko Okano; Ritsuko Hanajima; Yoshikazu Ugawa
Journal:  PLoS One       Date:  2011-12-12       Impact factor: 3.240

5.  A comparison of visual identification of dental radiographic and nonradiographic images using eye tracking technology.

Authors:  Michael G Botelho; Manikandan Ekambaram; Sangeeta Y Bhuyan; Andy Wai Kan Yeung; Ray Tanaka; Michael M Bornstein; Kar Yan Li
Journal:  Clin Exp Dent Res       Date:  2019-10-18
  5 in total

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