3D Technologies for Medical Applications (FK_079)
About Study Course
Objective
To train students in spatial modeling, creation, acquisition, and improvement of spatial anatomical models, as well as preparation for 3D printing. To introduce students to various spatial modeling options and software, to allow students to create different complex digital spatial models and print them out. It is expected that the students who have completed the study course will be able to independently develop and prepare spatial models for 3D printing, using data from radiology examinations, and will be able to apply the acquired knowledge in their professional activities.
Prerequisites
Knowledge of informatics at the level of the High school curriculum.
Learning outcomes
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.
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, will be able to apply the acquired knowledge in their professional activities.
1. Independently develops new - individually suitable for patients - unique digital models of implants and prostheses and prepares these models for production (uses and adapts technologies for manufacturing implants/prostheses). (3.1. Creation of digital content; 3.2. Integration and redevelopment of digital content; 4.2. Protection of personal data and privacy; 5.3. Creative use of digital technologies; DigComp 7) 2. Segments CT, CBCT and MRI examinations and creates personalized 3D models of anatomical structures , which can be used in planning the individual therapy of patients. (3.1. Creation of digital content; 3.2. Integration and redevelopment of digital content; 4.2. Protection of personal data and privacy; 5.3. Creative use of digital technologies; DigComp 7) 3. Uses and adapts scripts of various programming languages, e.g. Python for automated segmentation of anatomical structures adapted to each patient's individual medical history and available radiological examinations. (3.1. Creation of digital content; 3.2. Integration and redevelopment of digital content; 3.4. Programming; 4.2. Protection of personal data and privacy; 5.3. Creative use of digital technologies; DigComp 7) 4. Creates unique and specially adapted therapy solutions for patients (3D surgical planning, creation of implant models), develops these solutions in cases of limited data volume (limitations of radiological examinations) by combining various segmentation and 3D modeling software, e.g. Fusion 360, Blender, Meshmixer and 3-Matic Mimics Innovation Suite. (3.1. Creation of digital content; 3.2. Integration and redevelopment of digital content; 3.4. Programming; 4.2. Protection of personal data and privacy; 5.3. Creative use of digital technologies; 2.1. Interaction using digital technologies; 2.4. Collaboration using digital technologies ; DigComp 7).
Study course planning
Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
---|---|---|---|---|---|
Medicine, MF | 7 | Master’s | Limited choice | ||
Medicine, MF | 9 | Master’s | Limited choice | ||
Medicine, SSNMF | 7 | Master’s | Limited choice |
Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
---|---|---|---|---|---|
Medicine, SSNMF | 8 | Master’s | Limited choice | Mārtiņš Ļuļļa | |
Medicine, MF | 8 | Master’s | Limited choice | Mārtiņš Ļuļļa | |
Medicine, SSNMFz | 7 | Master’s | Limited choice | ||
Medicine, MF | 10 | Master’s | Limited choice | Mārtiņš Ļuļļa |