Mr-guided PET image denoising

Marzieh S. Tahaei, Andrew J. Reader, D. Louis Collins

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

3 Citations (Scopus)

Abstract

With the growing interest in conducting multicentre and multi-modality studies on neurological disorders, post-reconstruction PET image enhancement methods that take advantage of available anatomical information are becoming more important. In this work, a novel method for denoising PET images using the subject's registered T1-weighted MR image is proposed. The proposed method combines the non-local means approach with the twicing strategy from the image denoising literature to restore a reconstructed PET image. Preliminary analysis shows promising improvements in peak signal to noise ratio (PSNR) and contrast recovery coefficients (CRC) of the lesions when denoising simulated images reconstructed using the MLEM algorithm.

Original languageEnglish
Title of host publication2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2017-January
ISBN (Electronic)9781509016426
DOIs
Publication statusPublished - 16 Oct 2017
Event2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 - Strasbourg, France
Duration: 29 Oct 20166 Nov 2016

Conference

Conference2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Country/TerritoryFrance
CityStrasbourg
Period29/10/20166/11/2016

Keywords

  • Denoising
  • Non-local means
  • PET-MR
  • Restoration
  • Twicing

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