PET-CT enhancement by functional to anatomical image adaptation based on correlated nonlinear diffusion

Raz Carmi*, Piotr Maniawski, Julianne Suhy, David Groshar

*Corresponding author for this work

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

2 Scopus citations

Abstract

Quantitative PET is essential for reliable and consistent diagnostics as well as for proper clinical image interpretation. It has been demonstrated that in co-registered dual-modalities, anatomical data can improve functional images by way of synergistic enhancement. We propose a practical method for PET-CT enhancement by functional to anatomical image adaptation based on 'correlated nonlinear diffusion'. In this method, functional image structures are adapted to corresponding anatomical images depending on morphology correlations. Testing the method on clinical data demonstrates image sharpening with significantly higher signal to noise ratio, while preserving the original appearance of the background. Systematic analysis of tumor lesions shows that improving quantification and delineation of functional information by using anatomical data becomes more significant with decreasing lesion size.

Original languageEnglish
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages1827-1830
Number of pages4
DOIs
StatePublished - 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: 30 Mar 20112 Apr 2011

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/TerritoryUnited States
CityChicago, IL
Period30/03/112/04/11

Keywords

  • PET
  • nonlinear diffusion
  • partial volume
  • resolution recovery
  • synergistic

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