Image-based motion detection in 4D images and application to respiratory motion suppression

Abstract : Respiratory motion may blur the tomographic reconstruction of PET or SPECT images, which subsequently impairs quantitative measurements, e.g. in the upper abdomen area. Respiratory phase-based gated reconstruction addresses this problem for CT images, but deteriorates the signal-to-noise ratio and other intensity-based quality measures for ET images. This article describes an image-based motion detection method for dynamic images, which works for both 4D-CT and 4D-SPECT images. This method allowed us to identify the motionless phases from the image-based motion signal. Interestingly, we found that the peak of motion according to the pressure signal, recorded during the acquisition and considered as a reference, is temporally shifted compared to the motion-phases identified by the proposed method. Moreover, these observations permit to reconstruct a breath hold like 3D SPECT image improving the quality of the 3D reconstruction compared to both 4D reconstruction and standard 3D reconstruction.
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Communication dans un congrès
ISBI - International Symposium on Biomedical Imaging, Apr 2013, San Francisco, United States. IEEE, pp.792-795, 2013, Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. <10.1109/ISBI.2013.6556597>


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Dernière modification le : mardi 13 décembre 2016 - 15:42:59
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Marine Breuilly, Grégoire Malandain, Nicholas Ayache, Julien Guglielmi, Thierry Pourcher, et al.. Image-based motion detection in 4D images and application to respiratory motion suppression. ISBI - International Symposium on Biomedical Imaging, Apr 2013, San Francisco, United States. IEEE, pp.792-795, 2013, Proceedings of the 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro. <10.1109/ISBI.2013.6556597>. <hal-00799368>

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