Dawood M, Brune C, Jiang X, Büther F, Burger M, Schober O, Schäfers M, Schäfers KP (2010)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2010
Publisher: Springer
Edited Volumes: Medical Imaging and Augmented Reality: 5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010, Proceedings (Lecture Notes in ... Vision, Pattern Recognition, and Graphics)
City/Town: Berlin Heidelberg
Pages Range: 88-97
Conference Proceedings Title: Medical Imaging and Augmented Reality: 5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010, Proceedings (Lecture Notes in ... Vision, Pattern Recognition, and Graphics)
Event location: Peking
ISBN: 978-3642156984
URI: http://cvpr.uni-muenster.de/organisation/dawoods/MICCAI2010.pdf
DOI: 10.1007/978-3-642-15699-1_10
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.
APA:
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 Hongen Liao, P.J. Eddie Edwards, Xiaochuan Pan (Eds.), Medical Imaging and Augmented Reality: 5th International Workshop, MIAR 2010, Beijing, China, September 19-20, 2010, Proceedings (Lecture Notes in ... Vision, Pattern Recognition, and Graphics) (pp. 88-97). Peking: Berlin Heidelberg: Springer.
MLA:
Dawood, Mohammad, et al. "A continuity equation based optical flow method for cardiac motion correction in 3D PET data." Proceedings of the Proc. of MIAR, Peking Ed. Hongen Liao, P.J. Eddie Edwards, Xiaochuan Pan, Berlin Heidelberg: Springer, 2010. 88-97.
BibTeX: Download