TY - GEN
T1 - Optimizing non-local means for denoising low dose CT
AU - Kelm, Zachary S.
AU - Blezek, Daniel
AU - Bartholmai, Brian
AU - Erickson, Bradley J.
PY - 2009
Y1 - 2009
N2 - Due to the rapid increase in use of CT imaging and the recentlyheightened awareness of radiation-induced cancer, improving the diagnostic quality of low dose CT has become increasingly important. One potential method is to increase the signal-to-noise ratio of low dose images through denoising. Non-local means is a promising approach; however, it has many potentially adjustable parameters and application-specific areas of improvement. The filter uses a weighted average of similar regions to denoise each image pixel. Though the classic formulation uses only patches from the image being filtered, these patches can, in principle, be drawn from other images. In CT images, patches can be drawn from neighboring slices. We used that potential to increase the peak signal-to-noise ratio (PSNR) by over 4 dB when denoising low dose phantom CT images, and quantitatively demonstrated the filter's sensitivity to adjustment of each of its parameters.
AB - Due to the rapid increase in use of CT imaging and the recentlyheightened awareness of radiation-induced cancer, improving the diagnostic quality of low dose CT has become increasingly important. One potential method is to increase the signal-to-noise ratio of low dose images through denoising. Non-local means is a promising approach; however, it has many potentially adjustable parameters and application-specific areas of improvement. The filter uses a weighted average of similar regions to denoise each image pixel. Though the classic formulation uses only patches from the image being filtered, these patches can, in principle, be drawn from other images. In CT images, patches can be drawn from neighboring slices. We used that potential to increase the peak signal-to-noise ratio (PSNR) by over 4 dB when denoising low dose phantom CT images, and quantitatively demonstrated the filter's sensitivity to adjustment of each of its parameters.
KW - Denoising
KW - Image processing
KW - Low dose CT
KW - Non-local means
KW - Optimal parameters
UR - http://www.scopus.com/inward/record.url?scp=70449387104&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449387104&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2009.5193134
DO - 10.1109/ISBI.2009.5193134
M3 - Conference contribution
AN - SCOPUS:70449387104
SN - 9781424439324
T3 - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
SP - 662
EP - 665
BT - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging
T2 - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Y2 - 28 June 2009 through 1 July 2009
ER -