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MICCAI
2005
Springer

Respiratory Motion Correction in Emission Tomography Image Reconstruction

10 years 21 days ago
Respiratory Motion Correction in Emission Tomography Image Reconstruction
In Emission Tomography imaging, respiratory motion causes artifacts in lungs and cardiac reconstructed images, which lead to misinterpretations and imprecise diagnosis. Solutions like respiratory gating, correlated dynamic PET techniques, list-mode data based techniques and others have been tested with improvements over the spatial activity distribution in lungs lesions, but with the disadvantages of requiring additional instrumentation or discarding part of the projection data used for reconstruction. The objective of this study is to incorporate respiratory motion correction directly into the image reconstruction process, without any additional acquisition protocol consideration. To this end, we propose an extension to the Maximum Likelihood Expectation Maximization (MLEM) algorithm that includes a respiratory motion model, which takes into account the displacements and volume deformations produced by the respiratory motion during the data acquisition process. We present results from...
Mauricio Reyes, Grégoire Malandain, Pierre
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2005
Where MICCAI
Authors Mauricio Reyes, Grégoire Malandain, Pierre Malick Koulibaly, Miguel Ángel González Ballester, Jacques Darcourt
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