Mixed Reality improves 3D visualization and spatial awareness of bone tumors in Orthopaedic Oncology: a proof of concept study

3 pages•Published: March 8, 2024

Kwok-Chuen Wong, Yan Edgar Sun and Shekhar Madhukar Kumta

Abstract

In orthopaedic oncology, computer navigation and 3D-printed guides facilitate precise osteotomies only after surgical exposure[1,2]. Visualizing virtual 3D models on the 2D flat screen of the computer station lacks depth perception and parallax compared to physical 3D models. Before surgeries start, it is challenging to mentally process and superimpose the virtual data onto patients’ anatomy for surgical assessment. Mixed Reality is an immersive technology merging real and virtual worlds, and users can interact with digital objects[3]. Through Head-Mounted Displays (HMD), surgeons directly visualize holographic models that overlay tumor patients’ anatomies in their physical environment before surgeries start. Clinical case reports of MR application are limited to spine and shoulder arthroplasty, and no data in orthopaedic oncology.

Keyphrases: 3d printing, bone tumors, computer navigation, holograms, mixed reality, orthopaedic oncology

In: Joshua W Giles (editor). Proceedings of The 22nd Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 6, pages 119-121.

Links:	https://easychair.org/publications/paper/t75mj
	https://doi.org/10.29007/m18l

BibTeX entry

@inproceedings{CAOS2023:Mixed_Reality_improves_3D,
  author    = {Kwok-Chuen Wong and Yan Edgar Sun and Shekhar Madhukar Kumta},
  title     = {Mixed Reality improves 3D visualization and spatial awareness of bone tumors in Orthopaedic Oncology: a proof of concept study},
  booktitle = {Proceedings of The 22nd Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Joshua W Giles},
  series    = {EPiC Series in Health Sciences},
  volume    = {6},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/t75mj},
  doi       = {10.29007/m18l},
  pages     = {119-121},
  year      = {2024}}

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