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.
Highlights
Background & SummaryDuring the last ten years, head and neck tumors are increasing in males and females
In the oro-pharyngeal region, where squamous cell carcinomas (SCC) are the main tumor entity, surgery is the treatment of choice for direct tumor removal
CT, MRI or PET scans are widely used in the staging, diagnosis and treatment planning processes, as well as for follow-up controls in clinical centers of oncologic head and neck tumor surgery[1,2]
Summary
During the last ten years, head and neck tumors are increasing in males and females. Since these tumors expand fast and can be disastrous for the patient, an adequate oncologic therapy has to be administered in a short time. In oral and cranio-maxillofacial surgery, this new approach for anatomical visualization can support the whole clinical diagnostic and oncological treatment process, by enabling an increased spatial perception of anatomical structures and natural 3D interaction This is especially relevant in the three-dimensional visualization of head and neck tumors, regarding their anatomical localization or in the visualization of surgical treatment pathways regarding expansive oncologic bone resections. For the testing and evaluation of such image-to-patient registration algorithms, most research groups resort to commercial standard patient phantoms (e.g. by Sawbones, Vashon Island, WA, USA), which are very cost intensive Another alternative is the use of plastic dummy heads[13], corresponding medical data for such dummies is not available, and scanning of these models does not result in meaningful medical data, which is needed for more elaborate AR applications, such as different means of visualization or interactive 3D surgery planning, just to name a view. The corresponding PET/CT data provided with this collection can be used to investigate different methods of visualization in medical AR, such as efficient transfer functions[14] or focus and context volume rendering[15]
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