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GPU-Based Ultra Fast and Ultra Low Dose Cone Beam Computed Tomography Reconstruction

Inventor

  • Name: Bin (Steve) Jiang
  • Name: Xun Jia

Contact

  • Name: University of California, San Diego Technology Transfer Office
  • Email: invent@ucsd.edu
  • Phone: 858.534.5815

Information

Organization Name University of California, San Diego (UC San Diego)
Institutional ID Number 20749
Technology Tags or Keywords
cone beam CT  reconstruction  total variation  GPU  Diagnostics  Other
Summary

Cone-beam computed tomography (CBCT) plays an important role in image guided radiation therapy (IGRT). However, the large radiation dose from serial CBCT scans in most IGRT procedures raises a clinical concern, especially for pediatric patients who are essentially excluded from receiving IGRT for this reason.
Technology Benefit

  • Up to a 98 percent reduction in imaging dosage is achievable using the fast CBCT reconstruction algorithm.
  • Processing is 100-fold faster than current iterative reconstruction approaches.
Technology Applications

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Technology page URL http://techtransfer.universityofcalifornia.edu/NCD/20749.html?utm_source=AUTMGTP&utm_medium=webpage&utm_term=ncdid_20749&utm_campaign=TechWebsites
Detailed Technology Description

UC San Diego researchers have developed a fast GPU-based algorithm to reconstruct CBCT from under-sampled and noisy projection data so as to reduce the total imaging dose. The high computation efficiency in this algorithm allows for real-time iterative CBCT reconstruction in clinical environments.
TTO homepage URL --
URL to link to documents, images, videos, etc. --
Additional Information
Related Materials
Xun Jia, Yifei Lou, Ruijiang Li, William Y. Song, and Steve B. Jiang (2010) GPU-Based Fast Cone Beam CT Reconstruction from Under-Sampled and Noisy Projection Data Via Total Variation. See research article deposited on arXiv, a repository for scholarly articles.
Tech ID/UC Case
20749/2010-220-0
Related Cases
2010-220-0, 2010-047-1, 2009-313-1

Patent