Mapping Grey-Levels on 3D Segmented Anatomical districts

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dc.contributor.authorPaccini, Martinaen_US
dc.contributor.authorPatané, Giuseppeen_US
dc.contributor.authorSpagnuolo, Michelaen_US
dc.contributor.editorAgus, Marco and Corsini, Massimiliano and Pintus, Ruggeroen_US
dc.date.accessioned2019-11-20T08:12:43Z
dc.date.available2019-11-20T08:12:43Z
dc.date.issued2019
dc.description.abstractThe study aims to perform a simple but effective integration of geometric information of segmented 3D bones' surface and density information provided by volume MRI (Magnetic Resonance Imaging). Such a representation method could support diagnosis process, biomedical simulation, computed assisted surgery and prosthesis fitting. The input consists of a volume MRI of a carpal district and the corresponding 3D surface model. The algorithm superimposes image and surface, and, once found the image voxel correspondent to each surface point, maps the grey level of the voxels identified on the segmented surface. The output is a surface mesh on which the texture, induced by the MRI, has been mapped. The approach is effective, general and applicable to different anatomical districts. Further elaboration of the results can be used to perform landmark identification or segmentation correction.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationSmart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20191371
dc.identifier.isbn978-3-03868-100-7
dc.identifier.issn2617-4855
dc.identifier.pages107-108
dc.identifier.urihttps://doi.org/10.2312/stag.20191371
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20191371
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectGrey
dc.subjectlevels mapping
dc.titleMapping Grey-Levels on 3D Segmented Anatomical districtsen_US
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