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Proceedings Paper

High dynamic range (HDR) virtual bronchoscopy rendering for video tracking
Author(s): Teo Popa; Jae Choi
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Paper Abstract

In this paper, we present the design and implementation of a new rendering method based on high dynamic range (HDR) lighting and exposure control. This rendering method is applied to create video images for a 3D virtual bronchoscopy system. One of the main optical parameters of a bronchoscope's camera is the sensor exposure. The exposure adjustment is needed since the dynamic range of most digital video cameras is narrower than the high dynamic range of real scenes. The dynamic range of a camera is defined as the ratio of the brightest point of an image to the darkest point of the same image where details are present. In a video camera exposure is controlled by shutter speed and the lens aperture. To create the virtual bronchoscopic images, we first rendered a raw image in absolute units (luminance); then, we simulated exposure by mapping the computed values to the values appropriate for video-acquired images using a tone mapping operator. We generated several images with HDR and others with low dynamic range (LDR), and then compared their quality by applying them to a 2D/3D video-based tracking system. We conclude that images with HDR are closer to real bronchoscopy images than those with LDR, and thus, that HDR lighting can improve the accuracy of image-based tracking.

Paper Details

Date Published: 22 March 2007
PDF: 8 pages
Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 65091J (22 March 2007); doi: 10.1117/12.712336
Show Author Affiliations
Teo Popa, Georgetown Univ. (United States)
Jae Choi, Georgetown Univ. (United States)

Published in SPIE Proceedings Vol. 6509:
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary; Michael I. Miga, Editor(s)

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