Optimizing non-local means for denoising low dose CT

Zachary S. Kelm, Daniel Blezek, Brian Bartholmai, Bradley J. Erickson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2009
Pages662-665
Number of pages4
DOIs
StatePublished - Nov 17 2009
Event2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States
Duration: Jun 28 2009Jul 1 2009

Publication series

NameProceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Other

Other2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
CountryUnited States
CityBoston, MA
Period6/28/097/1/09

Keywords

  • Denoising
  • Image processing
  • Low dose CT
  • Non-local means
  • Optimal parameters

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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    Kelm, Z. S., Blezek, D., Bartholmai, B., & Erickson, B. J. (2009). Optimizing non-local means for denoising low dose CT. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 (pp. 662-665). [5193134] (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009). https://doi.org/10.1109/ISBI.2009.5193134