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A Study of Visual Attention in Diagnosing Cerebellar Tumours

Authors: Kuryati Kipli, Kasumawati Lias, Dayang Azra Awang Mat, Al-Khalid Othman, Ade Syaheda Wani Marzuki, Nurdiani Zamhari


Visual attention allows user to select the most relevant information to ongoing behaviour. This paper presents a study on; i) the performance of people measurements, ii) accurateness of people measurement of the peaks that correspond to chemical quantities from the Magnetic Resonance Spectroscopy (MRS) graphs and iii) affects of people measurements to the algorithm-based diagnosis. Participant-s eye-movement was recorded using eye-tracker tool (Eyelink II). This experiment involves three participants for examining 20 MRS graphs to estimate the peaks of chemical quantities which indicate the abnormalities associated with Cerebellar Tumours (CT). The status of each MRS is verified by using decision algorithm. Analysis involves determination of humans-s eye movement pattern in measuring the peak of spectrograms, scan path and determining the relationship of distributions of fixation durations with the accuracy of measurement. In particular, the eye-tracking data revealed which aspects of the spectrogram received more visual attention and in what order they were viewed. This preliminary investigation provides a proof of concept for use of the eye tracking technology as the basis for expanded CT diagnosis.

Keywords: eye tracking, fixation durations, pattern, scan paths, spectrograms, visual.

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[1] Preston K., White, Jr, Hutson T. L., and Hutchinson T. E. (1997) "Modeling Human Eye Behavior during Mammographic Scanning: Preliminary results", IEEE Trans. Syst., Man, Cybern. A, Vol. 27(1997), pp. 494-505.
[2] Beard DV, Johnston RE, Toki O, et al.(1990) "A Study of Radiologists Viewing Multiple Computed Tomography Examinations using an Eyetracking Device", J Digit Imaging ; 3:230-7.
[3] Ellis S.M, Hu X.P, Dempere-Marco L., Yang G.Z, Wells AU & Hansell D.M. (2006) "Thin-section CT of the Lungs: Eye-tracking analysis of the Visual Approach to Reading Tiled and Stacked Display Formats". Eur J Radiol, Vol 2006;59(2): pp 257-64.
[4] EyeLink II User Manual version (1/10/2005) ┬® 2002-2005 SR Research Ltd.
[5] Xu, A. (2000) "Eye Tracking Study on Identifying and Analyzing User Behavior - Eye Movements, Eye Fixation Duration and Patterns - When Processing Numeric Table Data in Paper or PDF Format", School of Information and Library Science, UNC-CH, November, 2000. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123-135.
[6] Brennan P, Silman A (1992) "Statistical Methods for Assessing Observer Variability in Clinical Measures", BMJ 1992;304:1491-4.
[7] Casali, J.G. and Gaylin, K.B (1988) "Selected Graph Design Variables in Four Interpretation Tasks: A Microcomputer-based Pilot Study", Behaviour & Information Technology. 7-1 pp31-49. Taylor and Francis 1988.
[8] Dempere-Marco L., Hu X-P., MacDonald S. L. S., Ellis S. M., Hansell D. M. and Yang G-Z (2002) "The Use of Visual Search for Knowledge Gathering in Image Decision Support", IEEE Transactions on Medical Imaging, Vol. 21(7)(2002), pp. 741-754.
[9] Hu X-P., Dempere-Marco L. and Yang G-Z.(2003) "Hot Spot Detection Based on Feature Space Representation of Visual Search in Medical Imaging", Proceedings of the 4th Annual IEEE-EMBS Information Technology Applications in Biomedicine 2003 (ITAB 2003), pp. 261- 264, 24-26 April 2003.
[10] Hu X-P., Dempere-Marco L. and Yang G-Z. (2003) "Feature Based Visual Search Analysis in Medical Image Understanding", Proceedings ECEM12, 20-24 August 2003, Dundee, Scotland, UK.
[11] Itti, L., Koch, C.(2001) "Computational Modeling of Visual Attention", Nature Reviews Neuroscience, Vol. 2 (March, 2001), No. 3, pp. 194-203, Mar (2001)
[12] Navalpakkam V. , Arbib M.A & Itti L. (2005) "Attention and Scene Understanding" Neurobiology of Attention, pp. 197-203, San Diego, CA:Elsevier, 2005.