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3D Modeling for Medical Applications in Dentistry

Study Course Description

Course Description Statuss:Approved
Course Description Version:3.00
Study Course Accepted:08.10.2024 10:10:40
Study Course Information
Course Code:FK_074LQF level:Level 7
Credit Points:2.00ECTS:3.00
Branch of Science:Physics; Material PhysicsTarget Audience:Dentistry
Study Course Supervisor
Course Supervisor:Jevgenijs Proskurins
Study Course Implementer
Structural Unit:Department of Physics
The Head of Structural Unit:
Contacts:Riga, 26a Anninmuizas boulevard, Floor No.1, Rooms 147 a and b, fizikaatrsu[pnkts]lv, +371 67061539
Study Course Planning
Full-Time - Semester No.1
Lectures (count)10Lecture Length (academic hours)3Total Contact Hours of Lectures30
Classes (count)1Class Length (academic hours)2Total Contact Hours of Classes2
Total Contact Hours32
Study course description
Preliminary Knowledge:
Knowledge of informatics at the level of the secondary school program. It is preferable to take the study course FK_069 "IT basics" in advance.
Objective:
To train students in spatial modeling, creation, acquisition, improvement of spatial anatomical models, as well as preparation for 3D printing. To introduce students to various spatial modeling options and software, to give students the opportunity to create digital spatial models of various complexity and print them. It is expected that students who have completed the study course will be able to independently develop and prepare spatial models for 3D printing using radiological examinations, will be able to apply the acquired knowledge in their professional activities.
Topic Layout (Full-Time)
No.TopicType of ImplementationNumberVenue
1Basics of spatial modeling, geometry of objects, spatial planes, projections of spatial objects (the lecture is based on the principles of medical imaging).Lectures1.00computer room
2Extraction of spatial 3D models from radiological examinations. Introduction to image segmentation.Lectures1.00computer room
3Introduction to direct modeling, mesh models, direct modeling software, comparison of direct and parametric modeling.Lectures1.00computer room
4Fusion of spatial models, advanced functions of direct modeling programs, processing of segmented files.Lectures1.00computer room
5Scaling sizes and dimensions in direct modeling.Lectures1.00computer room
6Modification of "mesh" models, adaptation of models created by direct modeling to parametric modeling, parametric modeling options.Lectures1.00computer room
7Practical tasks of segmentation and model processing of radiological examinations.Lectures4.00computer room
8Work on the final project.Classes1.00computer room
Assessment
Unaided Work:
Practical tasks of radiological examination segmentation and 3D model processing.
Assessment Criteria:
Active participation in practical lessons. Successful completion of a test in the form of a test in the e-study environment, which accounts for 50% of the final grade.
Final Examination (Full-Time):Exam
Final Examination (Part-Time):
Learning Outcomes
Knowledge: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: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 students who have completed the study course will be able to independently develop and prepare spatial models for printing using radiological examinations, will be able to apply the acquired knowledge in their professional activities.
Competencies: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.
Bibliography
No.Reference
Required Reading
1Geoff Dougherty. Digital Image Processing for Medical Applications. California State University, Channel Islands, April 2009.
2Image Processing in Radiology: Current Applications. (eds. Emanuele Neri, Davide Caramella, Carlo Bartolozzi). Springer Berlin, Heidelberg, Published: 14 November 2007