Data from Study - Respiratory Motion Correction of PET using MR-Constrained PET-PET Registration

This dataset contains the data used to arrive at the conclusions in the research article Respiratory Motion Correction of PET using MR-Constrained PET-PET Registration, by Balfour et al [BioMedical Engineering OnLine 2015, 14:85].
DOI: 10.1186/s12938-015-0078-5

This study was based upon motion-affected PET images simulated from real dynamic MR image volumes, simulated and reconstructed using the Software for Tomographic Image Reconstruction ("STIR", see http://stir.sourceforge.net/). This dataset includes data from MR scans of 4 healthy volunteers (male, aged 22-33).

Three types of data are provided, which should be sufficient for repeating the findings of the study:

Reconstructed PET image volumes, split into 6 respiratory bins ("gates") for each simulation
The dynamic 3D MR volumes used to derive the respiratory motion of each volunteer
Text files outline which dynamics have NOT been used for PET simulation - these are the ones used to make the motion model in the study
These MR volumes were registered and combined with the head-foot position of the right hemidiaphragm to form a respiratory motion model, which was subsequently used to constrain PET to PET image registration, attempting to correct for the motion in the PET images.

For more detailed information regarding the method, please refer to the article.

The PET data is split into several sub-categories:

Volunteer ID (4 possibilities, anonymised)
Lesion position (9 possibilities - see article for locations)
Lesion diameter, in millimetres (10 or 14 mm)
Respiratory gate number, ranging from 1 (most inhaled) to 6 (most exhaled)
Note that there are two types of each simulation: with motion, and without motion. These are included in the respective zip files for each volunteer ID.