In Peressutti et al, this volume is used for accuracy assessment and computation of the Signal-to-Noise ratio of the echo images. High resolution 3D MRI : - this volume is cardiac gated at late diastole and respiratory gated at end-expiration - the field of view covers the whole heart and the main cardiac vessels, the typical volume size is 256 x 256 x 110, the voxel resolution is 1.37mm x 1.37mm x 1.37mm (example of a high resolution 3D MRI image) - this high resolution image is employed to create the roadmap of the heart to be used for guidance purposes.
Number of the dynamic 3D MRI reference image : - the progressive number of the end-exhale dynamic 3D MRI image is provided - this image is used as reference in the affine registration for the model formation (see Peressutti et al). For details on the pulse sequence and the prior probability formation please refer to Peressutti et al. M are provided.Īll imaging data of each dataset are registered to the same physical coordinate system, so images can be directly visualised and overlaid.Įach dataset consists of the following data : Dynamic 3D MRI sequence : - this sequence consists of 120 3D MRI images, ECG-triggered and gated at late diastole, therefore the images represent the motion of the heart due to respiration only - the first 40 images were acquired during normal breathing, the second 40 images during fast breathing, while the last 40 images during deep breathing - the field of view (FOV) covers most, but not all, of the four cardiac chambers, the typical volume size is 144 x 144 x 20, the voxel resolution is 2.43mm x 2.43mm x 3.9 mm (example of dynamic 3D MRI images) - these images are used to form the prior probability. Database descriptionĪccording to Peressutti et al, the datasets of Vol. Images can be visualised and overlaid using open-source visualisation softwares such as GIMIAS, ParaView and MITK.
In the Download section, code is provided to read/write the images using the Matlab software. mhd format is supported by Insight Toolkit (ITK) and Visualization Toolkit (VTK) libraries. The format of the images is MetaImage data (*.mhd). The datasets used to evaluate the Bayesian respiratory motion model are available to download. Bayesian respiratory motion model Bayesian respiratory motion model : datasets