Automated generation of directed graphs from vascular segmentations.
Brian E Chapman, Holly P Berty, Stuart L Schulthies
J Biomed Inform | Elsevier BV | Published : 2015
Automated feature extraction from medical images is an important task in imaging informatics. We describe a graph-based technique for automatically identifying vascular substructures within a vascular tree segmentation. We illustrate our technique using vascular segmentations from computed tomography pulmonary angiography images. The segmentations were acquired in a semi-automated fashion using existing segmentation tools. A 3D parallel thinning algorithm was used to generate the vascular skeleton and then graph-based techniques were used to transform the skeleton to a directed graph with bifurcations and endpoints as nodes in the graph. Machine-learning classifiers were used to automaticall..View full abstract
Awarded by NHLBI NIH HHS