GPU-based surface oriented interslice directional interpolation for volume visualization

Laser scanning confocal endomicroscopy (LSCEM) is emerging as an in vivo 3D cellular imaging technology. However, the image datasets acquired from LSCEM are generally with low z-depth resolution, which causes artifacts in volume rendering. Intermediate data between consecutive images needs to be gen...

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Bibliographic Details
Main Authors: Movania, M.M., Feng Zhao, Lee Sing Cheong, Feng Lin, Kemao Qian, Hock Soon Seah
Format: Conference Proceeding
Language:English
Subjects:
Cancer
directional interpolation
Endomicroscopy image
Image resolution
In vivo
Interpolation
Noise shaping
Object detection
Optical imaging
Shape
Spatial resolution
Visualization
volume visualization
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Summary:Laser scanning confocal endomicroscopy (LSCEM) is emerging as an in vivo 3D cellular imaging technology. However, the image datasets acquired from LSCEM are generally with low z-depth resolution, which causes artifacts in volume rendering. Intermediate data between consecutive images needs to be generated. One common solution uses trilinear interpolation which more or less reduces the artifacts, but blocky artifacts are clearly visible especially in the areas of low spatial resolution. The current shape-based interpolation techniques cannot effectively remove such artifacts since they rely on the hard classification for identification of shape features. At the same time, the higher order interpolation schemes like cubic b-spline interpolation take much time to process the slices. In this paper, we propose a novel GPU-based surface oriented inter-slice directional interpolation algorithm to recover the missing information and thus minimize the interpolation artifacts. Our algorithm enjoys full floating point precision offered by the modern GPU to enhance the visualization result. Experimental results on several datasets clearly demonstrate the effectiveness of the new method.
ISSN:2325-5315
2325-5331
DOI:10.1109/ISABEL.2009.5373666