Mass-Preserving Motion Correction of PET: Displacement Field vs. Spline Transformation

F. Gigengack, L. Ruthotto, M. Burger, X. Jiang, C.H. Wolters, K.P. Schäfers


In Positron Emission Tomography (PET), motion due to the cardiac and respiratory cycle causes blurred images. Different approaches for motion correction in PET vary in the general concept (optical flow or image registration) or, e.g., in the discretization of motion. Given our mass-preserving transformation model, we evaluate different motion models in this work: dense displacement field (compute for each voxel an individual displacement) vs. spline transformation (i.e. free-form deformation). Thereby a focus is put on the parametrization of the spline transformations where we optimize the number of spline coefficients and the regularization parameter. We make a quantitative comparison of the motion estimates of the different motion models based on data of the established XCAT software phantom. For both motion models (Displacement Field (DF) and Spline Transformation (ST)) the registration results are evaluated by 1) the total processing time and 2) the Euclidean distance to the ground-truth vectors provided by the XCAT phantom. We found that the spline transformation model is superior to the displacement field strategy in terms of processing time and accuracy.
Original languageEnglish
Title of host publication 2011 IEEE Nuclear Science Symposium Conference Record
Number of pages3
Publication date10.2011
ISBN (Print)978-1-4673-0118-3
ISBN (Electronic)978-1-4673-0120-6
Publication statusPublished - 10.2011
Event2011 IEEE Nuclear Science Symposium Conference Record - Valencia, Spain
Duration: 23.10.201129.10.2011


Dive into the research topics of 'Mass-Preserving Motion Correction of PET: Displacement Field vs. Spline Transformation'. Together they form a unique fingerprint.

Cite this