Methods of Medical Imaging Field of study: Medical Physics
Programme code: W4-S1FM19.2025

Module name: Methods of Medical Imaging
Module code: W4-FM-S1-7-23-35
Programme code: W4-S1FM19.2025
Semester: winter semester 2028/2029
Language of instruction: Polish
Form of verification: exam
ECTS credits: 3
Purpose and description of the content of education:
During the lectures, the following topics are discussed: Differential methods of medical image analysis: Digital Subtraction Angiography (DSA) method; variations of DSA examinations (IA, PIA, IV, PIV). Structures of DSA systems; the impact of digital processing errors on the quality of differential images. Principles of selecting functions for transforming differential images. Methods of cross-sectional image reconstruction (2D) from projections: concept of one-dimensional projection (1D); Algebraic Reconstruction Technique (ART) method, reprojection method with and without projection filtration; method utilizing the Radon transform; comparison of these methods. Application of 2D reconstruction in computed tomography (CT). Structure and functioning principles of CT, generations of CT. Three-dimensional Reconstruction in Digital Subtraction Radiography (DSR). Principles of operation and structure of MRI systems. Methods of image reconstruction from frequency and phase encoding of the examined region in MRI applications. Principles of positron emission tomography (PET). Methods of cross-sectional image reconstruction based on coincidence detection of signals in PET applications. Methods of presenting three-dimensional (3D) images: orthogonal sections, oblique sections, unfolding of section planes. Displaying 3D images: surface rendering methods (gradient rendering), interior rendering methods (alpha rendering). Simplified methods of 3D visualization ("wire-frame"). Reconstruction of 3D object models: spatial photolithography. Quantitative evaluation of 3D structures based on layer series: Abercrombie's method; layer completion method; Saltykov's method. Analysis of errors in quantitative assessment. Quantitative assessment of biological structure images using densitometric methods. Quantitative analysis of texture in biological structures. Fractal description of self-repeating structures. Fluorescence resonance phenomenon. Application of FRET in microstructure assessment. Analysis of FRET signal. Laboratory classes involve practical implementation of the topics discussed during lectures, such as: Principles of processing biomedical images using professional software packages Vidas, KS 100, KS 400, KS Run, AxioVision. Batch operations on image sequences. Processing DSA sequences. Cross-sectional image reconstruction using the reprojection method. Analysis of 3D structures based on layer series. Gradient rendering, alpha rendering. Virtual inspection of embedded objects. Analysis of FRET images.
List of modules that must be completed before starting this module (if necessary): not applicable
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
They have a basic understanding of medical image reconstruction techniques and their limitations. [E1]
 W03 [5/5] W07 [5/5] W09 [5/5] IU01 [5/5]
They are familiar with selected techniques of modern medicine used in 2D and 3D imaging. [E2]
 W07 [5/5] W09 [5/5] IU02 [5/5]
They can plan engineering actions related to the processing of biomedical images to improve their diagnostic value according to medical indications. [E3]
 U03 [4/5] U04 [4/5] U06 [4/5] U10 [4/5] IU04 [4/5] IU05 [4/5] IU08 [4/5]
They can apply their acquired knowledge to practical applications; they can use software packages for medical image reconstruction and processing. [E4]
 IU04 [5/5] IU05 [5/5] IU08 [5/5]
They are capable of applying mathematical principles to solve simple problems in the field of medical image processing. [E5]
 U02 [4/5] U05 [4/5] U06 [4/5] IU02 [4/5]
Form of teaching Number of hours Methods of conducting classes Assessment of the learning outcomes Learning outcomes
lecture [FZ1] 15 Lecture-discussion [b02] 
Activating method – discussion / debate [b04] 
Working with a computer [d01] 
Internship [e05]  		exam E1 E2
laboratory classes [FZ2] 15 Working with a computer [d01] 
Laboratory exercise / experiment [e01]  		course work E3 E4 E5
The student's work, apart from participation in classes, includes in particular:
Name Category Description
Literature reading / analysis of source materials [a02] Preparation for classes
reading the literature indicated in the syllabus; reviewing, organizing, analyzing and selecting source materials to be used in class
Developing practical skills [a03] Preparation for classes
activities involving the repetition, refinement and consolidation of practical skills, including those developed during previous classes or new skills necessary for the implementation of subsequent elements of the curriculum (as preparation for class participation)
Getting acquainted with the syllabus content [b01] Consulting the curriculum and the organization of classes
reading through the syllabus and getting acquainted with its content
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)