Dynamic PET Image Reconstruction Using the Wavelet Kernel Method

Zahra Ashouri, Chad R. Hunter, Benjamin A. Spencer, Guobao Wang, Richard M. Dansereau, Robert A. Dekemp

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

Abstract

Dynamic PET imaging is used to monitor the spatio-temporal distribution of a tracer in a tissue region. Dynamic PET can suffer from high noise; to address this problem, the kernel method has been developed for efficient dynamic PET image reconstruction. Previous kernel approaches used a Gaussian kernel to exploit nonlocal spatial correlations from image priors. The Gaussian kernel, has an undesired effect of smoothing high frequencies. In this work, we propose using a wavelet kernel with good energy compaction to further enhance kernel-based dynamic PET image reconstruction. The oscillation in the wavelet kernel can result in better representation of details in the final reconstructed images. We evaluated the wavelet kernel approach using patient data acquired from dynamic C-11 hydroxyephedrine (HED) PET imaging. Reconstruction results demonstrate that this wavelet kernel approach achieves better image quality than standard reconstruction and the Gaussian kernel approaches.

Original languageEnglish (US)
Title of host publication2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728141640
DOIs
StatePublished - Oct 2019
Event2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 - Manchester, United Kingdom
Duration: Oct 26 2019Nov 2 2019

Publication series

Name2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019

Conference

Conference2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
CountryUnited Kingdom
CityManchester
Period10/26/1911/2/19

ASJC Scopus subject areas

  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Nuclear and High Energy Physics

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  • Cite this

    Ashouri, Z., Hunter, C. R., Spencer, B. A., Wang, G., Dansereau, R. M., & Dekemp, R. A. (2019). Dynamic PET Image Reconstruction Using the Wavelet Kernel Method. In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 [9059890] (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSS/MIC42101.2019.9059890