The SKM-TEA dataset consists of imaging data and annotations for 155 quantitative double echo steady state MRI knee scans acquired clinically at Stanford. The data includes the raw kspace, DICOM image
The purpose of this project is to wrap the recon-all workflow from FreeSurfer 6.0 beta in a Python processing framework for neuroimaging data called Nipype. FreesSurfer, an image analysis suite, perfo
