|Organization Name||University of California, San Diego (UC San Diego)|
|Institutional ID Number||20749|
|Technology Tags or Keywords|
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 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||--|
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Related MaterialsXun 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 Case20749/2010-220-0
Related Cases2010-220-0, 2010-047-1, 2009-313-1