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      Nerves of Steel: a Low-Cost Method for 3D Printing the Cranial Nerves

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          Abstract

          Steady-state free precession (SSFP) magnetic resonance imaging (MRI) can demonstrate details down to the cranial nerve (CN) level. High-resolution three-dimensional (3D) visualization can now quickly be performed at the workstation. However, we are still limited by visualization on flat screens. The emerging technologies in rapid prototyping or 3D printing overcome this limitation. It comprises a variety of automated manufacturing techniques, which use virtual 3D data sets to fabricate solid forms in a layer-by-layer technique. The complex neuroanatomy of the CNs may be better understood and depicted by the use of highly customizable advanced 3D printed models. In this technical note, after manually perfecting the segmentation of each CN and brain stem on each SSFP-MRI image, initial 3D reconstruction was performed. The bony skull base was also reconstructed from computed tomography (CT) data. Autodesk 3D Studio Max, available through freeware student/educator license, was used to three-dimensionally trace the 3D reconstructed CNs in order to create smooth graphically designed CNs and to assure proper fitting of the CNs into their respective neural foramina and fissures. This model was then 3D printed with polyamide through a commercial online service. Two different methods are discussed for the key segmentation and 3D reconstruction steps, by either using professional commercial software, i.e., Materialise Mimics, or utilizing a combination of the widely available software Adobe Photoshop, as well as a freeware software, OsiriX Lite.

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          Author and article information

          Contributors
          (202) 715-5212 , rjavan@mfa.gwu.edu
          (202) 715-5212 , sdesai@uams.edu
          (202) 715-5212 , mohitb@gwmail.gwu.edu
          Journal
          J Digit Imaging
          J Digit Imaging
          Journal of Digital Imaging
          Springer International Publishing (Cham )
          0897-1889
          1618-727X
          21 February 2017
          October 2017
          : 30
          : 5
          : 576-583
          Affiliations
          ISNI 0000 0004 0614 171X, GRID grid.411841.9, Department of Radiology, , George Washington University Hospital, ; 900 23rd St NW, Suite G2092, Washington, DC 20037 USA
          Author information
          http://orcid.org/0000-0001-8939-2781
          Article
          PMC5603433 PMC5603433 5603433 9951
          10.1007/s10278-017-9951-z
          5603433
          28224379
          3a25208d-39b9-4e97-93ba-a777438e6398
          © Society for Imaging Informatics in Medicine 2017
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          © Society for Imaging Informatics in Medicine 2017

          Cranial nerve,Skull base,Simulation,Cerebellopontine angle,3D model,Education,Radiology,Anatomy,Rapid prototyping,3D printing,Surgical planning

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