Learning carotid vessel wall segmentation in black-blood MRI using sparsely sampled cross-sections from 3D data.

The proposed method can reduce the effort for carotid artery vessel wall assessment. Together with human supervision, it can be used for clinical applications, as it allows a reliable measurement of the VWT for different patient demographics and MRI acquisition settings.