This interactive workshop covers how to take 2D medical imaging files from CT/MRI scans to create 3D object files optimized for 3D printing. The first portion focuses on manual segmentation of image files, using different techniques for specific anatomical structures in Slicer, MeshMixer and MeshLab. The second portion will focus on using automated segmentation to identify these structures, then how to turn these results into a 3D object. The end goal of these sessions will be to create files of the identified structures that are optimized for 3D printing.
Familiarity with medical imaging processes (CT and MRI) is preferred but not required. Computer workstations will be provided; however, if you wish to use your own computer, you will need to install software in advance of the session.
Participants will:
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Understand how to use 2D medical images to create 3D objects
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Demonstrate how to manually segment a series of image files into desired anatomical structures
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Apply automated techniques to perform specific image segmentation and construct 3D objects from the segmentation
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Create a smooth STL file from the segmented object ready for 3D printing
Software used in the workshop:
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Slicer https://www.slicer.org/
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MeshMixer https://meshmixer.org/
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MeshLab https://www.meshlab.net/
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Google Colabs: https://colab.google/
Location: Instruction Lab, 2nd floor, Gerstein Science Information Centre, 9 King's College Circle
Instructors: Zoe Crookshank, Marita Cafazzo, Graduate Student Library Assistants, Gerstein + MADLab 3D Printing Service, gerstein.3Dprinting@utoronto.ca