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Proceedings Paper

Reconstruction and visualization of model-based volume representations
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Paper Abstract

In modern medical CT, the primary source of data is a set of X-ray projections acquired around the object, which are then used to reconstruct a discrete regular grid of sample points. Conventional volume rendering methods use this reconstructed regular grid to estimate unknown off-grid values via interpolation. However, these interpolated values may not match the values that would have been generated had they been reconstructed directly with CT. The consequence can be simple blurring, but also the omission of fine object detail which usually contains precious information. To avoid these problems, in the method we propose, instead of reconstructing a lattice of volume sample points, we derive a highfidelity object model directly from the reconstruction process, fitting a localized object model to the acquired raw data within tight tolerances. This model can then be easily evaluated both for slice-based viewing as well as in GPU 3D volume rendering, offering excellent detail preservation in zooming operations. Furthermore, the model-driven representation also supports high-precision analytical ray casting.

Paper Details

Date Published: 27 February 2010
PDF: 9 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76251O (27 February 2010); doi: 10.1117/12.844348
Show Author Affiliations
Ziyi Zheng, Stony Brook Univ. (United States)
Klaus Mueller, Stony Brook Univ. (United States)


Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

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