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dc.contributor.authorKabul, Ilknuren_US
dc.contributor.authorMerck, Dereken_US
dc.contributor.authorRosenman, Julianen_US
dc.contributor.authorPizer, Stephen M.en_US
dc.contributor.editorDirk Bartz and Charl Botha and Joachim Hornegger and Raghu Machiraju and Alexander Wiebel and Bernhard Preimen_US
dc.date.accessioned2014-01-29T17:09:06Z
dc.date.available2014-01-29T17:09:06Z
dc.date.issued2010en_US
dc.identifier.isbn978-3-905674-28-6en_US
dc.identifier.issn2070-5786en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VCBM/VCBM10/133-140en_US
dc.description.abstractMedical illustrations can make powerful use of texture synthesis to convey information about anatomic structures in an attractive, effective and understandable way. Current visualization methods are not capable of conveying detailed information about the orientation, internal structure, and other local properties of the anatomical objects for a particular patient because imaging modalities such as CT or MRI do not capture this information. In this paper, a new anatomical rendering method that utilizes model-based synthesis of 3D textures is proposed in order to distinguish and illustrate different structures inside the model. The goal of our volume illustration approach is to visualize structural information by considering directions and layers in synthesizing high-quality, high-resolution solid textures. Our method uses medial coordinates of 3D models and 2D exemplar textures to generate solid textures that change progressively in orientation and material according to the local orientation and transition information implicit in the anatomic region.Discrete medial 3D anatomical models ("m-reps") provide the orientation field and texture variation maps inside image regions. In our paper, we demonstrate the robustness of our method with a variety of textures applied to different anatomical structures, such as muscles, and mandible.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleModel-based Solid Texture Synthesis for Anatomic Volume Illustrationen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicineen_US


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