A continuity equation based optical flow method for cardiac motion correction in 3D PET data

Mohammad Dawood*, Christoph Brune, Xiaoyi Jiang, Florian Büther, Martin Burger, Otmar Schober, Michael Schäfers, Klaus P. Schäfers

*Corresponding author for this work

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

9 Citations (Scopus)

Abstract

Cardiac Motion artifacts in PET are a well known problem. The heart undergoes two types of motion, the motion due to respiratory displacement and the motion due to cardiac contraction. These movements lead to blurring of data and to inaccuracies in the quantification. In this study a continuity equation based optical flow method is presented and results on 3D PET patient datasets for cardiac motion correction are presented. The method was evaluated with respect to three criteria: correlation between the images, myocardial thickness and the blood pool activity curves. The results showed that the method was successful in motion correcting the data with high precision.

Original languageEnglish
Title of host publicationMedical Imaging and Augmented Reality - 5th International Workshop, MIAR 2010, Proceedings
Pages88-97
Number of pages10
DOIs
Publication statusPublished - 9 Nov 2010
Externally publishedYes
Event5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010 - Beijing, China
Duration: 19 Sep 201020 Sep 2010
Conference number: 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6326 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010
Abbreviated titleMIAR 2010
CountryChina
CityBeijing
Period19/09/1020/09/10

Keywords

  • CT
  • Mass Conservation
  • Motion correction
  • Optical Flow
  • PET

Fingerprint Dive into the research topics of 'A continuity equation based optical flow method for cardiac motion correction in 3D PET data'. Together they form a unique fingerprint.

  • Cite this

    Dawood, M., Brune, C., Jiang, X., Büther, F., Burger, M., Schober, O., ... Schäfers, K. P. (2010). A continuity equation based optical flow method for cardiac motion correction in 3D PET data. In Medical Imaging and Augmented Reality - 5th International Workshop, MIAR 2010, Proceedings (pp. 88-97). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6326 LNCS). https://doi.org/10.1007/978-3-642-15699-1_10