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Qlone®: A Simple Method to Create 360-Degree Photogrammetry-Based 3-Dimensional Model of Cadaveric Specimens
Muhammet Enes Gurses1,2, Abuzer Gungor2,3, Sahin Hanalioglu1
1Department of Neurosurgery, Hacettepe University, Ankara, Turkey.
Operative Neurosurgery (Hagerstown, Md.)
|October 18, 2021
Summary
This study presents an accessible method for creating 3D cadaver models using mobile devices and photogrammetry. This technique enhances anatomy training and surgical simulation, particularly in neuroanatomy.
Area of Science:
- Medical Education
- Anatomical Visualization
- Digital Health
Background:
- Human cadavers are crucial for anatomy education but access to specimens and facilities is limited globally.
- Innovative and accessible technologies are needed to improve anatomy training methods.
- Current limitations necessitate novel approaches to maximize the utility of anatomical educational materials.
Purpose of the Study:
- To develop a practical method for creating 3D visualizations of human cadaveric specimens.
- To enhance the educational value of limited cadaveric resources through advanced visualization techniques.
- To provide an accessible tool for detailed anatomical study and surgical simulation.
Main Methods:
- Utilized embalmed human cadaveric specimens (cerebrum, brain stem, cerebellum).
- Captured multiple 2D photographs of specimens using standard mobile devices (smartphones, tablets).
- Employed photogrammetry software (Qlone®) to process images into integrated 3D models.
Main Results:
- Generated high-resolution, 360-degree 3D models of cadaveric specimens.
- Enabled free rotation, manipulation, and viewing from multiple angles with adjustable magnification.
- Facilitated advanced editing and export options for virtual and augmented reality simulations.
Conclusions:
- Developed an inexpensive, simple, and accessible method for creating 3D cadaver models.
- This technique significantly enhances neuroanatomy training and surgical simulation.
- Provides a realistic virtual environment for neurosurgeons globally, overcoming specimen access limitations.

