@inproceedings{d3802b8e48c94c4997f86815f703376a,
title = "Fully Automated Conversion Of Glioma Clinical MRI Scans Into A 3D Virtual Reality Model For Presurgical Planning",
abstract = "Medical images have a tremendous amount of spatial information for localizing tumors and planning surgical interventions. However, viewing data in 2D, even in a multiplanar viewer, does not convey the complex 3D relationships of the anatomy. This places the burden on clinicians to utilize visuospatial processing to generate their mental representation and further requires working memory during procedures to link 2D imaging to the 3D surgical field. In this project, we are developing an automated pipeline to build rich 3D virtual reality (VR) models from clinical MRI of glioma patients using deep learning. The current project uses structural and diffusion MRI to automatically create 3D VR models of gray matter, white matter, blood supply, tumor core, tumor, and white matter fiber tracts. The VR models can aid in surgical planning and generate a better understanding of the extent and arrangement of the tumor relative to other structures in the brain.",
keywords = "glioma, medical imaging, presurgical planning, virtual reality",
author = "Nick Tucker and Sutton, {Bradley P.} and Chase Duncan and Colin Lu and Sanmi Koyejo and Tsung, {Andrew J.} and Jane Maksimovic and Tate Ralph and Pieta, {Sister M.} and Bramlet, {Matthew T.}",
note = "This project has been funded by the Jump ARCHES endowment through the Health Care Engineering Systems Center at the University of Illinois at Urbana-Champaign.; 2022 Annual Modeling and Simulation Conference, ANNSIM 2022 ; Conference date: 18-07-2022 Through 20-07-2022",
year = "2022",
doi = "10.23919/ANNSIM55834.2022.9859317",
language = "English (US)",
series = "Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "392--403",
editor = "Martin, {Cristina Ruiz} and Niloufar Emami and Blas, {Maria Julia} and Roya Rezaee",
booktitle = "Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM 2022",
address = "United States",
}