Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Gsaxner, C; Wallner, J; Chen, X; Zemann, W; Egger, J.
Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery.
Sci Data. 2019; 6(1):310-310 Doi: 10.1038/s41597-019-0327-8 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Führende Autor*innen der Med Uni Graz
Schwarz-Gsaxner Christina
Wallner Jürgen
Co-Autor*innen der Med Uni Graz
Egger Jan
Zemann Wolfgang
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Abstract:
Medical augmented reality (AR) is an increasingly important topic in many medical fields. AR enables x-ray vision to see through real world objects. In medicine, this offers pre-, intra- or post-interventional visualization of "hidden" structures. In contrast to a classical monitor view, AR applications provide visualization not only on but also in relation to the patient. However, research and development of medical AR applications is challenging, because of unique patient-specific anatomies and pathologies. Working with several patients during the development for weeks or even months is not feasible. One alternative are commercial patient phantoms, which are very expensive. Hence, this data set provides a unique collection of head and neck cancer patient PET-CT scans with corresponding 3D models, provided as stereolitography (STL) files. The 3D models are optimized for effective 3D printing at low cost. This data can be used in the development and evaluation of AR applications for head and neck surgery.
Find related publications in this database (using NLM MeSH Indexing)
Augmented Reality -
Face - anatomy & histology
Head and Neck Neoplasms -
Humans -
Models, Anatomic -
Phantoms, Imaging -
Positron Emission Tomography Computed Tomography -
Printing, Three-Dimensional -
Surgery, Oral -

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