3D Modeling for Medical Applications in Radiology
Study Course Implementer
Riga, 26a Anninmuizas boulevard, Floor No.1, Rooms 147 a and b, fizika@rsu.lv, +371 67061539
About Study Course
Objective
Preliminary Knowledge
Learning Outcomes
Knowledge
1.To provide students with insight and practical knowledge in 3D scanning and modeling, which students could potentially encounter in the future in their professional environment, thereby increasing their competitiveness.
Skills
1.As a result of the study course, students will be able to use the acquired knowledge of 3D scanning and modeling in order to be able to work practically with various 3D modeling programs, as well as to be able to apply these technologies in practice. It is expected that the students who have completed the study course will be able to independently develop and prepare spatial models for printing, using data from radiology examinations, and will be able to apply the acquired knowledge in their professional activities.
Competences
1.As a result of learning the study course, students will be able to use the available 3D scanning and modeling technologies, will be able to assess the current situation in the field of 3D technologies, predict its development directions.
Assessment
Individual work
Examination
Study Course Theme Plan
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Basics of spatial modeling, geometry of objects, spatial planes, projections of spatial objects (the lecture is based on the principles of medical imaging).
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Extraction of spatial 3D models from radiological examinations. Introduction to image segmentation.
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Introduction to direct modeling, mesh models, direct modeling software, comparison of direct and parametric modeling.
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Fusion of spatial models, advanced functions of direct modeling programs, processing of segmented files.
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Scaling sizes and dimensions in direct modeling.
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Modification of "mesh" models, adaptation of models created by direct modeling to parametric modeling, parametric modeling options.
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Practical tasks of segmentation and model processing of radiological examinations.
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Work on the final project.
Bibliography
Required Reading
Geoff Dougherty. Digital Image Processing for Medical Applications. California State University, Channel Islands, April 2009.
Image Processing in Radiology: Current Applications. (eds. Emanuele Neri, Davide Caramella, Carlo Bartolozzi), Springer Berlin, Heidelberg, Published: 14 November 2007
Additional Reading
Richard Szeliski. Computer Vision: Algorithms and Applications, 2nd ed. The University of Washington, Springer, 2022