Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons

In this paper, we propose a generic framework for intersubject non-linear registration of 4D time-series images. In this framework, spatio-temporal registration is defined by mapping trajectories of physical points as opposed to spatial registration that solely aims at mapping homologous points. First, we determine the trajectories we want to register in each sequence using a motion tracking algorithm based on the Diffeomorphic Demons algorithm. Then, we perform simultaneously pairwise registrations of corresponding time-points with the constraint to map the same physical points over time. We show this trajectory registration can be formulated as a multichannel registration of 3D images. We solve it using the Diffeomorphic Demons algorithm extended to vector-valued 3D images. This framework is applied to the inter-subject non-linear registration of 4D cardiac CT sequences.

[1]  M. Irani,et al.  Spatio-Temporal Alignment of Sequences , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Daniel Rueckert,et al.  Fast Spatio-temporal Free-Form Registration of Cardiac MR Image Sequences , 2004, FIMH.

[3]  Anup Basu,et al.  Event Dynamics Based Temporal Registration , 2007, IEEE Transactions on Multimedia.

[4]  Patrick Clarysse,et al.  A Comparison Framework for Breathing Motion Estimation Methods From 4-D Imaging , 2007, IEEE Transactions on Medical Imaging.

[5]  Guido Gerig,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I , 2005, MICCAI.

[6]  Johan Montagnat,et al.  4D deformable models with temporal constraints: application to 4D cardiac image segmentation , 2005, Medical Image Anal..

[7]  Olivier Clatz,et al.  DTI registration with exact finite-strain differential , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[8]  Carl-Fredrik Westin,et al.  Deformable registration of DT-MRI data based on transformation invariant tensor characteristics , 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

[9]  Nicholas Ayache,et al.  Non-parametric Diffeomorphic Image Registration with the Demons Algorithm , 2007, MICCAI.

[10]  Nicholas Ayache,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part I , 2007, MICCAI.

[11]  Dinggang Shen,et al.  Consistent Estimation of Cardiac Motions by 4D Image Registration , 2005, MICCAI.

[12]  Jean-Philippe Thirion,et al.  Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..