A Hidden Markov Model to Identify Regions of Interest from Eye Movements, with an Application to Nodule Detection in Chest X-Rays

39 Pages Posted: 30 Jun 2014

See all articles by Michel Wedel

Michel Wedel

University of Maryland - Robert H. Smith School of Business

Jin Yan

University of Maryland - College of Computer, Mathematical and Natural Sciences

Paul Smith

University of Maryland - College of Computer, Mathematical and Natural Sciences

Eliot Siegel

University of Maryland - School of Medicine

Hongshuang (Alice) Li

Ohio State University (OSU) - Department of Marketing and Logistics

Date Written: June 28, 2014

Abstract

Nodules that may represent lung cancer are often missed in chest X-rays by radiologists. Recording of eye movements during search for nodules provides insights into the search process. We develop a Hierarchical Bayes Hidden Markov Model (HMM) and analyze eye tracking data of sixteen laymen looking at fourteen chest X-rays, of which seven contained a potentially cancerous nodule. We use the luminance of pixels in the X-ray image as prior information on the location of a nodule. Using a reversible jump Markov Chain Monte Carlo algorithm to estimate the HMM enables us to identify the number of regions of interest (ROIs) on each image, as well as their centers, sizes and orientations. In the application in most cases one of the ROIs covers the nodule precisely. Our study thus demonstrates that a HMM analysis of eye movements recorded on laymen may accurately reveal the location of nodules, which has significant implications. The HMM model may be useful in other applications to identify ROIs from eye movement data.

Keywords: Eye tracking; Reversible Jump Markov Chain Monte Carlo; Hidden Markov Model; Regions of Interest; Lung Cancer; Radiology

Suggested Citation

Wedel, Michel and Yan, Jin and Smith, Paul and Siegel, Eliot and Li, Hongshuang (Alice), A Hidden Markov Model to Identify Regions of Interest from Eye Movements, with an Application to Nodule Detection in Chest X-Rays (June 28, 2014). Robert H. Smith School Research Paper No. RHS 2460288. Available at SSRN: https://ssrn.com/abstract=2460288 or http://dx.doi.org/10.2139/ssrn.2460288

Michel Wedel (Contact Author)

University of Maryland - Robert H. Smith School of Business ( email )

College Park, MD 20742-1815
United States

HOME PAGE: http://www.rhsmith.umd.edu/directory/michel-wedel

Jin Yan

University of Maryland - College of Computer, Mathematical and Natural Sciences ( email )

2300 Symons Hall,
University of Maryland
College Park, MD 20742-3255
United States

Paul Smith

University of Maryland - College of Computer, Mathematical and Natural Sciences ( email )

2300 Symons Hall,
University of Maryland
College Park, MD 20742-3255
United States

Eliot Siegel

University of Maryland - School of Medicine ( email )

655 West Baltimore Street
College Park, MD 20742
United States

Hongshuang (Alice) Li

Ohio State University (OSU) - Department of Marketing and Logistics ( email )

Fisher Hall 544
2100 Neil Ave
Columbus, OH 43210
United States

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