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New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning

Authors :
Magnus K. Gislason
Kyle J. Edmunds
Iris D. Arnadottir
Ingvar Hakon Olafsson
Paolo Gargiulo
Institute of Biomedical and Neural Engineering (IBNE) (RU)
Tækni- og verkfræðideild (HR)
School of Science and Engineering (RU)
Háskólinn í Reykjavík
Reykjavik University
Source :
Journal of Healthcare Engineering, Journal of Healthcare Engineering, Vol 2017 (2017)
Publication Year :
2017
Publisher :
Hindawi, 2017.

Abstract

This paper illustrates the feasibility and utility of combining cranial anatomy and brain function on the same 3D-printed model, as evidenced by a neurosurgical planning case study of a 29-year-old female patient with a low-grade frontal-lobe glioma. We herein report the rapid prototyping methodology utilized in conjunction with surgical navigation to prepare and plan a complex neurosurgery. The method introduced here combines CT and MRI images with DTI tractography, while using various image segmentation protocols to 3D model the skull base, tumor, and five eloquent fiber tracts. This 3D model is rapid-prototyped and coregistered with patient images and a reported surgical navigation system, establishing a clear link between the printed model and surgical navigation. This methodology highlights the potential for advanced neurosurgical preparation, which can begin before the patient enters the operation theatre. Moreover, the work presented here demonstrates the workflow developed at the National University Hospital of Iceland, Landspitali, focusing on the processes of anatomy segmentation, fiber tract extrapolation, MRI/CT registration, and 3D printing. Furthermore, we present a qualitative and quantitative assessment for fiber tract generation in a case study where these processes are applied in the preparation of brain tumor resection surgery.<br />The authors would like to thank the Icelandic Innovation Fund RANNIS, the company Ossur, and the University Hospital Landspitali, for providing financial and technical support to this project.<br />"Peer Reviewed"

Details

Language :
English
ISSN :
20402295
Database :
OpenAIRE
Journal :
Journal of Healthcare Engineering
Accession number :
edsair.doi.dedup.....13cc68acbfcddb10e5ee93f468b5bdcc
Full Text :
https://doi.org/10.1155/2017/1439643