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Proceedings Paper

Computational observer approach for the assessment of stereoscopic visualizations for 3D medical images
Author(s): Fahad Zafar; John Dorband; Aldo Badano
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Paper Abstract

We present a computational stereoscopic observer approach inspired by the mechanisms of stereopsis in human vision that makes decisions based on a set of image pairs. Our stereo observer is constrained to a left and a right image generated using a visualization operator (ray tracing) to render simulated voxel datasets. We present the formulation of the observer based on model observer theory and discuss issues regarding simulated data generation and processing for this approach. The applicability of this observer extends to stereoscopic displays in the areas of entertainment, industrial, and medical imaging applications.

Paper Details

Date Published: 28 February 2012
PDF: 7 pages
Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 831806 (28 February 2012); doi: 10.1117/12.913661
Show Author Affiliations
Fahad Zafar, Univ. of Maryland, Baltimore County (United States)
U.S. Food and Drug Administration (United States)
John Dorband, Univ. of Maryland, Baltimore County (United States)
Aldo Badano, U.S. Food and Drug Administration (United States)


Published in SPIE Proceedings Vol. 8318:
Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey; Claudia R. Mello-Thoms, Editor(s)

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