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Matthias Schneider, Sven Hirsch, Bruno Weber, and Gábor Székely. Physiologically Based Construction of Optimized 3-D Arterial Tree Models. In Gabor Fichtinger, Anne Martel, and Terry Peters, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, volume 6891 of LNCS, pages 404-411. Springer Berlin/Heidelberg, 2011.

MICCAI 2011 Student Travel Award

We present an approach to generate 3-D arterial tree models based on physiological principles while at the same time certain morphological properties are enforced at construction time in order to build individual vascular models down to the capillary level. The driving force of our approach is an angiogenesis model incorporating case-specific information about the metabolic activity in the considered domain. Additionally, we enforce morphometrically confirmed bifurcation statistics of vascular networks. The proposed method is able to generate artificial, yet physiologically plausible, arterial tree models that match the metabolic demand of the embedding tissue and fulfill the enforced morphological properties at the same time. We demonstrate the plausibility of our method on synthetic data for different metabolic configurations and analyze physiological and morphological properties of the generated tree models.
@InProceedings{Schneider2011, title = {Physiologically Based Construction of Optimized \mbox{3-D} Arterial Tree Models}, author = {Schneider, Matthias and Hirsch, Sven and Weber, Bruno and Sz{\'e}kely, G{\'a}bor}, booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2011}, year = {2011}, editor = {Fichtinger, Gabor and Martel, Anne and Peters, Terry}, number = {1}, pages = {404--411}, publisher = {Springer Berlin/Heidelberg}, series = {LNCS}, volume = {6891}, abstract = {We present an approach to generate 3-D arterial tree models based on physiological principles while at the same time certain morphological properties are enforced at construction time in order to build individual vascular models down to the capillary level. The driving force of our approach is an angiogenesis model incorporating case-specific information about the metabolic activity in the considered domain. Additionally, we enforce morphometrically confirmed bifurcation statistics of vascular networks. The proposed method is able to generate artificial, yet physiologically plausible, arterial tree models that match the metabolic demand of the embedding tissue and fulfill the enforced morphological properties at the same time. We demonstrate the plausibility of our method on synthetic data for different metabolic configurations and analyze physiological and morphological properties of the generated tree models.}, affiliation = {Computer Vision Laboratory, ETH Zurich, Switzerland}, doi = {10.1007/978-3-642-23623-5_51}, isbn = {978-3-642-23622-8}, keywords = {vascular tree construction, arterial tree model, angiogenesis, morphological statistics, computer simulation, computational physiology}, url = {http://www.springerlink.com/content/t2k8275370717m23/} }