Post-reconstruction partial volume correction of PET images using iterative deconvolution algorithm and anatomical priors

Daniela D'Ambrosio, M. Marengo, [No Value] SBoschi, [No Value] SFanti, A. E. Spinelli

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

Abstract

PET image quality is affected by partial volume effect (PVE). Moreover, PVE can lead to inaccurate estimate of radiotracer concentration in each voxel of the reconstructed PET volume. Several methods could be used to correct PET images for PVE and can be mainly grouped into two categories: pre- and post-reconstruction approaches. The paper presents a novel post-reconstruction partial volume correction (PVC) method for PET images based on an iterative deconvolution algorithm (Van Cittert method, VC) including anatomical priors (VC-MAP). The proposed method was tested on simulated and real PET acquisition. Preliminary results from simulated images show that the VC-MAP provide better recovery of the true image with respect to the classical VC de-convolution scheme. Moreover, the VC-MAP method provides images with a better edge definition that appear also less noisier than the VC ones. The proposed method was validated using a real PET image of the NEMA IEC Body Phantom. Also in this case the VC-MAP method provides PVC images of good quality. Thus, the proposed method allows at the same time to improve the spatial resolution and to reduce the noise in the image.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages257-260
Number of pages4
Volume25
Edition4
DOIs
Publication statusPublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period9/7/099/12/09

Keywords

  • Anatomical priors
  • Deconvolution
  • Partial volume correction
  • PET
  • Van cittert

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

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