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Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery.


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.

SUBMITTER: Gsaxner C 

PROVIDER: S-EPMC6901520 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery.

Gsaxner Christina C   Wallner Jürgen J   Chen Xiaojun X   Zemann Wolfgang W   Egger Jan J  

Scientific data 20191209 1


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 an  ...[more]

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