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

Christina Gsaxner, Jürgen Wallner*, Xiaojun Chen, Wolfgang Zemann, Jan Egger

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number310
JournalScientific Data
Publication statusPublished - 9 Dec 2019


Dive into the research topics of 'Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery'. Together they form a unique fingerprint.

Cite this