Biologically Grounded Synthetic Cerebrovasculature Models for Validation of Segmentation Algorithms
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© 2017 IEEE. We introduce a novel model-based generator that produces biologically grounded synthetic volumes of the cerebrovasculature. Our models are synthesized stochastically, according to the biological characteristics of venule arborescence in the human collateral sulcus. Each synthetic volume produced is individually unique, yet representative of this cerebral region. As the locations and characteristics of filaments embedded within our models is known, ground truth data is easily derived. Therefore, our synthetic volumes provide a feasible foundation for the model-based validation of vascular segmentation algorithms.
author list (cited authors)
Nowak, M. R., Han, D., & Choe, Y.