Modern Computer Technology in Medicine

Course: Biomedical Physics, Engineering and Informatics

Structural unit: Faculty of Radiophysics, Electronics and Computer Systems

Title
Modern Computer Technology in Medicine
Code
ОК 15
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2024/2025
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
Learning outcomes
The student should know: the peculiarities of creating DICOM format standards; medical data storage formats; commands used in DICOM networking, and basic digital image processing algorithms.The student should be able to: work with DICOM files using various software packages or library modules for different programming languages; work with data stored in a DICOM file using tags; apply various medical image processing methods using software packages or libraries for different programming languages.
Form of study
Full-time form
Prerequisites and co-requisites
The student should know: the fundamentals of digital signal processing; the specific features of signal expansion into the Fourier series , the Fourier integral, Discrete Fourier Transform (DFT), and Fast Fourier Transform (FFT); the basics of programming, and object-oriented programming (OOP). The student should be able to: develop simple computer programs and use digital image processing methods.
Course content
Students are expected to become familiar with the peculiarities of data transmission, storage, and display protocols used in modern digital medicine. The course covers protocols for the transmission, processing, and storage of data in medicine. Specifically, the curriculum addresses the DICOM standard, including the features of data element encoding, image storage, and the interaction of DICOM objects using networks.
Recommended or required reading and other learning resources/tools
1. Rasmus R. Paulsen - Introduction to Medical Image Analysis - Springer Nature -London, England - 2020- P. 186 2. Amit Kumar , Fahimuddin Shaik,B Abdul Rahim,D.Sravan Kumar Signal and Image Processing in Medical Applications- Springer Nature -London, England - 2016- P. 56 3. Oleg S. Pianykh Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide - Springer Science & Business Media-London, England - , 2009 - P/417.. 4. Rafael C. Gonzalez, Richard E. Woods' - Digital Image Processing, Fourth Edition- Pearson - London,England - 2010 - P. 1022
Planned learning activities and teaching methods
Lectures 20 hours, seminars 18 hours
Assessment methods and criteria
The 2 midterm examinations, each of which is graded with a maximum of 30 points. The minimum score for each test must be 18 points. Assessment of individual work. A pass/fail exam, with a maximum possible grade of 40 points. The condition for admission to the exam is obtaining 36 points during the semester. The condition for achieving a positive grade for the discipline is obtaining a minimum of 60 points overall, and the score for the exam cannot be less than 24 points.
Language of instruction
ukrainian

Lecturers

This discipline is taught by the following teachers

Yuriy Pustovit
Department of Quantum Radio Physics and Nanoelectronics
Faculty of Radiophysics, Electronics and Computer Systems

Departments

The following departments are involved in teaching the above discipline

Department of Quantum Radio Physics and Nanoelectronics
Faculty of Radiophysics, Electronics and Computer Systems