Data for publication - Autoadaptive motion modelling for MR-based respiratory motion estimation

This repository contains four T1-weighted 2D MR slice datasets from multiple slice positions covering the entire thorax during free breathing and breath holds. The data was used to evaluate our novel autoadaptive respiratory motion model which we proposed in [1]. In particular, the datasets contain the following:

1. Acquisition of all sagittal slice positions covering the thorax and one coronal slice position acquired during a breath hold.

2. Results of registration between adjacent sagittal slice positions [control point displacements (cpp) and displacement fields (dfs)]
3. 40 dynamic acquisitions of each slice position also present in the breath-hold acquired during free breathing.
4. Results of registration of the dynamic acquisitions to the respective breath-holds slices (cpp's and dfs's).

Please cite this dataset as: Baumgartner, Christian F. et al.. (2016). Data for publication: Autoadaptive motion modelling for MR-based respiratory motion estimation. Zenodo. 10.5281/zenodo.55345

Please cite the corresponding publication as: Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King, Autoadaptive Motion Modelling for MR-Based Respiratory Motion Estimation, Medical Image Analysis, Available online 9 June 2016, ISSN 1361-8415, http://dx.doi.org/10.1016/j.media.2016.06.005.