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 language | English |
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Title of host publication | Medical Imaging and Augmented Reality - 5th International Workshop, MIAR 2010, Proceedings |
Pages | 88-97 |
Number of pages | 10 |
DOIs | |
Publication status | Published - 9 Nov 2010 |
Externally published | Yes |
Event | 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010 - Beijing, China Duration: 19 Sept 2010 → 20 Sept 2010 Conference number: 5 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 6326 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 5th International Workshop on Medical Imaging and Augmented Reality, MIAR 2010 |
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Abbreviated title | MIAR 2010 |
Country/Territory | China |
City | Beijing |
Period | 19/09/10 → 20/09/10 |
Keywords
- CT
- Mass Conservation
- Motion correction
- Optical Flow
- PET