300038 UE Virtual images manipulation and segmentation (2022W)

The course is practical and focuses on tools and procedures for virtual image manipulation of 3D image data sets. In particular, 3D (CT) image data sets - mainly didactic data sets from human anatomical parts like skulls or teeth, will be provided to the participants. The participants will learn how to handle, manipulate and segment 3D images by means of Amira 5.6 (Mercury Computer Systems, Chelmsford, MA). (segmentation is a procedure for the identification and isolation of the various materials represented in the image volume data). The students will learn also other techniques for image data manipulation, such as cropping, flipping, translating, reorienting, producing a surface, fitting a cutting plane, setting landmarks, creating curves. An introduction on some features of the EVAN toolbox (i.e., landmark collection, sliding curve and surface semilandmarks; http://evan-society.org) will be given. Language of instruction: English