Cardiac PET motion correction using materially constrained transform models

Adrian J. Chung, Paolo G. Camici, Guang Zhong Yang

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

Abstract

Recent improvements in the resolution of Positron Emission Tomography (PET) imaging have not translated into equivalent advances in diagnostic accuracy. Due to long acquisition times involved, the functional imaging modality is hampered by motion artefacts due to respiratory motion. In this paper, two methods for correcting reconstructed PET images through a list-mode re-binning process are investigated. The first method rebins the list-mode data according to a globally defined 3D affine transformation. The second is a novel approach that combines multiple independent 2D affine transforms in order to exploit the specific properties of 2D tomographic reconstruction. Each affine transformation method is applied to the respiratory gated sequence of line-of-response events prior to image reconstruction, thus compensating for any respiratory motion. The deformation models are derived from a non-rigid 3D/3D registration model applied to retrospectively gated MRI acquired during free-breathing. The motion correction schemes are validated using a simulation framework with respiratory gated MRI scans of 10 subjects to generate the required activity maps for estimating emission sinograms. This allows the ground truth solution to be derived so that the motion corrected reconstruction can be compared quantitatively. It is shown that the higher degrees of freedom of the 2D affine motion compensation model is superior to the 3D affine transform provided one incorporates weak material constraints to avoid ill conditioning and can tolerate the lower SNR that 2D reconstruction implies.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages193-201
Number of pages9
Volume5128 LNCS
DOIs
Publication statusPublished - 2008
Event4th International Workshop on Medical Imaging and Augmented Reality, MIAR 2008 - Tokyo, Japan
Duration: Aug 1 2008Aug 2 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5128 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Workshop on Medical Imaging and Augmented Reality, MIAR 2008
CountryJapan
CityTokyo
Period8/1/088/2/08

Keywords

  • Affine
  • Gating
  • Lung
  • Motion
  • Motion Correction
  • MRI
  • Myocardium
  • PET

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

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