Groupwise Registration for Robust Motion Field Estimation in Artifact-Affected 4D CT Images
Related Research units
Abstract
evaluated on the DIR-lab datasets; Its robustness if applied to artifact-affected data sets is analyzed using clinically acquired data sets with and without artifacts. The proposed registration approach achieves an accuracy comparable to the state-of-the-art (subvoxel accuracy), but smoother voxel trajectories compared to pairwise registration. Even more important: it maintained accuracy and trajectory smoothness in the presence of image artifacts – in contrast to standard pairwise registration, which yields higher landmark-based registration errors and a loss of trajectory smoothness when applied to artifact-affected data sets
Bibliographical data
Original language | English |
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Title of host publication | MICCAI Workshop on Imaging and Computer Assistance in Radiation Therapy Workshop (ICART) |
REQUIRED books only: Number of pages | 8 |
Publication date | 10.2015 |
Edition | 1 |
Pages | 18-25 |
Publication status | Published - 10.2015 |