Veidlapa Nr. M-3 (8)
Study Course Description

3D Modeling for Medical Applications in Radiology

Main Study Course Information

Course Code
FK_075
Branch of Science
Medical Physics ; Physical sciences
ECTS
3.00
Target Audience
Medicine
LQF
Level 7
Study Type And Form
Full-Time

Study Course Implementer

Course Supervisor
Structure Unit Manager
Structural Unit
Department of Physics
Contacts

Riga, 26a Anninmuizas boulevard, Floor No.1, Rooms 147 a and b, fizika@rsu.lv, +371 67061539

About Study Course

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 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.

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.

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

Title
% from total grade
Grade
1.
Individual work
-
-
Practical tasks of radiological examination segmentation and 3D model processing.

Examination

Title
% from total grade
Grade
1.
Examination
-
-
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.

Study Course Theme Plan

FULL-TIME
Semester 2
  1. Basics of spatial modeling, geometry of objects, spatial planes, projections of spatial objects (the lecture is based on the principles of medical imaging).

EventType
Modality
Location
Contact hours
1.
Lecture
On site
Computer room
2
  1. Extraction of spatial 3D models from radiological examinations. Introduction to image segmentation.

EventType
Modality
Location
Contact hours
1.
Class/Seminar
On site
Computer room
3
  1. Introduction to direct modeling, mesh models, direct modeling software, comparison of direct and parametric modeling.

EventType
Modality
Location
Contact hours
1.
Class/Seminar
On site
Computer room
3
  1. Fusion of spatial models, advanced functions of direct modeling programs, processing of segmented files.

EventType
Modality
Location
Contact hours
1.
Class/Seminar
On site
Computer room
3
  1. Scaling sizes and dimensions in direct modeling.

EventType
Modality
Location
Contact hours
1.
Class/Seminar
On site
Computer room
3
  1. Modification of "mesh" models, adaptation of models created by direct modeling to parametric modeling, parametric modeling options.

EventType
Modality
Location
Contact hours
1.
Class/Seminar
On site
Computer room
3
  1. Practical tasks of segmentation and model processing of radiological examinations.

EventType
Modality
Location
Contact hours
1.
Class/Seminar
On site
Computer room
3
2.
Class/Seminar
On site
Computer room
3
3.
Class/Seminar
On site
Computer room
3
4.
Class/Seminar
On site
Computer room
3
  1. Work on the final project.

EventType
Modality
Location
Contact hours
1.
Class/Seminar
On site
Computer room
3
Total ECTS (Creditpoints):
1.50
Contact hours:
32 Academic Hours
Final Examination:
Exam

Bibliography

Required Reading

1.

Geoff Dougherty. Digital Image Processing for Medical Applications. California State University, Channel Islands, April 2009.

2.

Image Processing in Radiology: Current Applications. (eds. Emanuele Neri, Davide Caramella, Carlo Bartolozzi), Springer Berlin, Heidelberg, Published: 14 November 2007

Additional Reading

1.

Richard Szeliski. Computer Vision: Algorithms and Applications, 2nd ed. The University of Washington, Springer, 2022

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