Combining images and anatomical knowledge to improve automated vein segmentation in MRI
Phillip G. D. Ward, Nicholas J. Ferris, Parnesh Raniga, David L. Dowe, Amanda Ng, David G. Barnes, Gary F. Egan
This study improves automated vein segmentation in MRI by combining susceptibility-weighted images, quantitative susceptibility maps, and a vein atlas into a composite vein image, showing significant performance gains.
NeuroImage · Oct 25, 2017Peer-reviewedNeuroscience