To create the dataset, a subset of MRI data from the PICTURE project (http://www.vph-picture.eu/) was used. In detail, T1-weighted MRI image sets were used, containing approximately 60 axial slices each, with an average voxel resolution of 0.59×0.59×3 mm, (x, y and z axes, respectively). Taking advantage of the manually annotated structures, 3D point clouds (PCLs) of patient’s torsos were created using the breast contour, Latissimus Dorsi muscles and the pectoral muscle, as frontal, lateral and posterior boundaries, respectively. However, considering that the computational cost of the wound healing simulation is decreased if performed for each breast individually, instead of using the entire torso as done by Vavourakis et al. , the torso point cloud (PCL) was vertically divided with a plane defined along the sternum. Performing this division, individual breasts PCLs were obtained, which provide breast shape variability in the dataset. Any breast PCL holding visible MRI coil compression are discarded from the simulation because the deformation is not reversible with the multiscale biomechanical model.