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Computer Experiment and Medical Images Processing

ВБ.1.09

Вибіркова дисципліна для ОП

First

2022/2023

7 Semester

4

The primary studying goals of the discipline: introducing students to modern methods of in vivo visualization technologies in medicine, processing medical and biological images, providing practical skills in using spatial filtering methods, selection and recognition of various diagnostic objects. Practical application of computer processing of received images, automation of image processing processes, research of their parameters. The knowledge and skills acquired in this discipline can be used during the preparation of the bachelor's graduation thesis, as well as studying the disciplines of the educational program "Biomedical Physics, Engineering and Informatics" of the second (master's) level of higher education.

Full-time form

This course is a continuation of the course "Technologies of Processing and Analysis of Diagnostic Data" and is based on the knowledge obtained in the courses "Optics", "Computer experiment", "Numerical methods", "Oscillations and waves", "Atomic and nuclear physics".

The discipline "Computer experiment and medical image processing" consists of two meaningful modules. In the first of them, the main mathematical models and results of image filtering methods, sharpening, contour selection and noise suppression, general information on the selection of diagnostic information from images are considered. In the second module, the main methods of obtaining and discretizing medical images, visualization problems in ultrasound, radiological and other studies are considered.

1 Ратушний П. М. Методи обробки біологічних зображень / Ратушний П. М., Білинський Й. Й. // Тези студентських доповідей. ВНТУ. – 2004. – С. 171. 2 Аналіз сучасних методів візуалізації даних в неврології і нейрохірургії з точки зору їх діагностичної цінності / [Злепко С. М., Бєлоусова О. В., Белзецький Р. С., 1 1 3 Transactions on Image Processing. 22 Jain, A. K., «Advances in mathematical models for image processing», Proceeding of the IEEE, vol. 69, no. 5., Р. 502–528. 4 Gonzalez R. C., Woods R. E. Digital Image Processing: Prentice Hall, 2002. – 813 p. 5 Havelock D. I. Geometric precision in noise-free digital images / Havelock D. I. // IEEE Trans. Pattern Anal. Machine Intell. – 1989. Vol. 11, № 10. – P. 1065–1075. 6 Konishi, A. L. A Statistical Approach to MultiScale Edge Detection / Konishi, A. L., Yuille J. M., Coughlan // Proc. Workshop Generative-Model-Based Vision : GMBV, 2002.

Lectures in the amount of 28 hours and laboratory works in the amount of 28 hours.

Semester score: The discipline has two modules, each of which is estimating at 10 points, and 5 laboratory works (8 points each). Final score (exam): the form of the exam is written-oral. The test paper consists of 2 questions (20 points each). In total, you can get from 0 to 40 points for the exam. The condition for achieving a positive grade for the discipline is to obtain at least 60 points, the exam score can not be less than 24 points.

Ukrainian