BIOLOGICALLY GROUNDED SYNTHETIC CEREBROVASCULATURE MODELS FOR VALIDATION OF SEGMENTATION ALGORITHMS Conference Paper

abstract

• 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.

name of conference

• 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

authors

• Choe, Yoonsuck

published proceedings

• 2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017)

author list (cited authors)

• Nowak, M. R., Han, D., & Choe, Y.

citation count

• 1

complete list of authors

• Nowak, Michal R||Han, Donghyeop||Choe, Yoonsuck

publication date

• April 2017

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging  Journal

keywords

• Cerebrovascular Models
• Model-based Validation
• Synthetic Models
• Vascular Segmentation

Digital Object Identifier (DOI)

• 10.1109/isbi.2017.7950619

International Standard Book Number (ISBN) 13

• 9781509011711

start page

• 714

end page

• 717

URL

• http://dx.doi.org/10.1109/isbi.2017.7950619