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Proceedings Paper

Fast calculation of digitally reconstructed radiographs using light fields
Author(s): Daniel B. Russakoff; Torsten Rohlfing; Daniel Rueckert; Ramin Shahidi; Daniel Kim; Calvin R. Maurer
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Paper Abstract

Calculating digitally reconstructed radiographs (DRRs)is an important step in intensity-based fluoroscopy-to-CT image registration methods. Unfortunately, the standard techniques to generate DRRs involve ray casting and run in time O(n3),where we assume that n is approximately the size (in voxels) of one side of the DRR as well as one side of the CT volume. Because of this, generation of DRRs is typically the rate-limiting step in the execution time of intensity-based fluoroscopy-to-CT registration algorithms. We address this issue by extending light field rendering techniques from the computer graphics community to generate DRRs instead of conventional rendered images. Using light fields allows most of the computation to be performed in a preprocessing step;after this precomputation step, very accurate DRRs can be generated in time O(n2). Using a light field generated from 1,024 DRRs of resolution 256×256, we can create new DRRs that appear visually identical to ones generated by conventional ray casting. Importantly, the DRRs generated using the light field are computed over 300 times faster than DRRs generated using conventional ray casting(50 vs.17,000 ms on a PC with a 2 GHz Intel Pentium 4 processor).

Paper Details

Date Published: 15 May 2003
PDF: 12 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481888
Show Author Affiliations
Daniel B. Russakoff, Stanford Univ. (United States)
Torsten Rohlfing, Stanford Univ. (United States)
Daniel Rueckert, Imperial College (United Kingdom)
Ramin Shahidi, Stanford Univ. (United States)
Daniel Kim, Stanford Univ. (United States)
Calvin R. Maurer, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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