| Course Unit Code | 460-4052/01 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | First Year |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| LIC10 | prof. Ing. Lačezar Ličev, CSc., prof.h.c. |
| Summary |
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The aim of the course is to introduce to viewing processes, methods of image acquisition and processing and overall quality imaging process. The text also describes basic physical and technical aspects of analog and digital imaging systems, infrared systems, X-ray systems, digital radiography and conventional imaging systems in nuclear medicine.
Lectures
1.Introduction to the imaging process, eye imaging system psychosensoric perception, exposure parameters, photometric and radiometric quantities, colors, wavelength, histogram, voxel and pixel.
2.Formation of images and image representation. Fundamentals of image processing: Discretizing. Linearity and nonlinearity imaging process, expressing the image as a 2D signal, quality assessment process view.
3.Working with image data, image parameters. Image analysis in the spatial domain. Convolution of the image data.
4.Integral transformation of image data. Image filtering. Inverse filtering, Wiener filtering, changing the contrast and brightness, color modulation
5.Transfer properties of imaging systems (MTF, PSF). Amplitude and phase spectrum of the image.
6.Image compression: Principles of compression and compression standards. Evaluating the quality of compression with respect to diagnostic reliability. Medical image archiving, archiving systems.
7.Image segmenting: Basic methods of segmentation. Edge detection. Active contours and level sets. Segmentation using neural networks. Segmentation of medical volume data.
8.Analysing of medical images: Detection of geometric primitives and objects. Examples of detection techniques of different objects in images from different sources.
9.TV sensing elements: optical CCDs. TV imaging systems. Displays for imaging systems - vacuum, LCD displays, gas discharge displays, projectors, television image. Videoendoscopy.
10.Infra sensing cameras, optical-mechanical degradation. Signal radiation flux modulation in signal infra viewing, designing of general processes, basic principles, sorting of IR imaging systems. Construction of IR imaging systems, infrared radiation detectors.
11.Ionising radiation, X-ray technician, physical principles, sources and detectors. Security risks, ALARA principle. Mechanisms of interaction between radiation and X-rays.
12.Principle of process view projection radiography, digital radiography. Restoring techniques, quantitative evaluation. Angiography.
13.Radionuclide imaging techniques, planar gammagraphy. Principles and methods of image acquisition. Mechanisms of interaction of gamma rays. Anger camera.
Responsibilities during laboratory exercises
1. Introduction to practical exercises in MATLAB.
2. Testing of psychosensoric vision perception, physiological properties of an eye. Spatial resolution, links between spatial resolution and contrast. Color resolution, spectral sensitivity, time resolution.
3. Starting semester project.
4. Basic work with image data, image parameters.
5. Adjusting the basic parameters of image data.
6. Image analysis in the spatial domain. Convolution of the image and its applications.
7. Image analysis in the frequency domain. Amplitude and phase spectrum.
8. Transformations. Inverse filtering, Wiener filtering.
9. Modelling distortion in the process depicted - MTF, frequency transmission.
10. Modeling distortion in the process depicted - PSF, impulse response transformations.
11. Project work.
12. Presentation and evaluation of the project.
13. Field trip and specialized and practical demonstration of convective imaging systems.
14. Final test
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| Learning Outcomes of the Course Unit |
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The aim of the course is to acquaint students with the construction of conventional medical imaging systems, the principle of summation image, and then the methods of image processing and visualization of data from these systems.
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| Course Contents |
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Lectures
1.Introduction to the imaging process, as eye imaging system psychosenzorický perception, exposure parameters, photometric and radiometric quantities, the colors, wavelength, histogram, voxel and pixel.
2.Vznik and image representation. Fundamentals of image processing: Discretization. Linearity and nonlinearity imaging process, the expression of the image as a 2D signal quality assessment process view.
3.Working with the image data, image parameters. Image analysis in the spatial domain. Convolution of the image data.
4.Integrální transformation of image data. Image filtering. Inverse filtering, Wiener filtering, change the contrast and brightness, color modulation
5.Přenosové properties of imaging systems (MTF, PSF). Amplitude and phase spectrum of the image.
6.Komprese image: Principles compression and compression standards. Evaluating the quality of compression with respect to diagnostic reliability. Medical image archiving, archiving systems.
7.Segmentace image: Basic methods of segmentation. Edge detection. Active contours and level sets. Segmentation using neural networks. Segmentation of medical volume data.
8.Analýza medical images: Detection of geometric primitives and objects. Examples of detection techniques of different objects in images from different sources.
9.Televizní sensing elements: optical CCDs. TV imaging systems. Displays for imaging systems - vacuum, LCD displays, displays with gas discharge, projectors, television image. Videoendoskopie.
10.Infra sensing cameras, optical-mechanical degradation. Signal radiation flux modulation signal infrazobrazení general process design, basic principles, sorting IR imaging systems. Construction of IR imaging systems, infrared radiation detectors.
11.Ionizující radiation, X-ray technician, physical principles, sources and detectors. Security risks ALARA principle. Mechanisms of interaction between radiation and X-rays.
12.Princip process view projection radiography, digital radiography. Restaurants techniques, quantitative evaluation. Angiography.
13.Radionuklidové imaging techniques, planar gamagrafie. Principles and methods of image acquisition. Mechanisms of interaction of gamma rays. Anger camera.
Responsibilities of laboratory exercises
First Introduction to practical exercises in MATLAB.
Second Testing psychosenzorického vision perception, physiological properties of the eye. Spatial resolution, spatial resolution dependence on contrast. Color resolution, spectral sensitivity, time resolution.
Third Entering semester project.
4th Basic work with image data, image parameters.
5th Adjusting the basic parameters of image data.
6th Image analysis in the spatial domain. Convolution of the image and its applications.
7th Image analysis in the frequency domain. Amplitude and phase spectrum.
8th Transformations. Inverse filtering, Wiener filtering.
9th Modeling distortion in the process depicted - MTF, frequency transmission.
10th Modeling distortion in the process depicted - PSF, impulse response transformations.
11th Work on the project.
12th Presentation and evaluation of the project.
13th Excursion to specialized and practical demonstration of convective imaging systems.
14th Final test |
| Recommended or Required Reading |
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| Required Reading: |
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Svatos, J.: Imaging systems in medicine. Textbook Technical University, 1998.
Drastich, A.: Non-broadcast display systems. Textbook FEEC, 2001.
Zuna, I., Poušek, L.: Introduction to imaging methods in medical diagnostics. Textbook Technical University, 2007
Rozman, J.: Medical Instrumentation third Skriptum. Brno, FEEC, 1992. |
Svatoš, J.: Zobrazovací systémy v lékařství. Skriptum ČVUT, 1998.
Drastich, A.: Netelevizní zobrazovací systémy. Skriptum FEKT VUT v Brně, 2001.
Zuna, I., Poušek,L.: Úvod do zobrazovacích metod v lékařské diagnostice. Skriptum ČVUT, 2007
Rozman, J.: Lékařská přístrojová technika 3. Skriptum. Brno, FEKT VUT, 1992.
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| Recommended Reading: |
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Hozman, J., Bernas, M., Klima, M., Dvořák, P. processing visual information. Prague: CTU Publishing House, 1996.
Drastich, A.: Medical Imaging Systems, Publishing Centre VUT Brno. 1990
Cho, ZH, Jones, JP, Singh, M. Foundations of Medical Imaging. New York: John Wiley & Sons, Inc.. 1993
Ed. S Webb The Physics of Medical Imaging. Bristol: Institute of Physics Publishing (IOP). 1988
A. Webb, Introduction to Biomedical Imaging. IEEE press.2003
M. Sonka, JM Fitzpatrick, Handbook of Medical Imaging, vol.2. SPIE Press, 2000
Bronzino, JD The Biomedical Engineering Handbook. Boca Raton: CRC Press. 1995
A. Webb, Introduction to Biomedical Imaging. IEEE press.2003
Webster, J.: Medical instrumentation: Aplication and Design, ISBN 0471153680, 1997
Carr, J., Brown, M. Introducion to Biomedical Equipment Technofogy (4th edition), ISBN 0130104922, 2000 |
Hozman, J., Bernas, M., Klíma, M., Dvořák, P. Zpracování obrazové informace. Praha: Vydavatelství ČVUT, 1996.
Drastich, A.: Zobrazovací systémy v lékařství,Ediční středisko VUT Brno. 1990
Cho, Z.H., Jones, J.P., Singh, M. Foundations of Medical Imaging. New York: John Wiley&Sons, Inc. 1993
Ed. S Webb The Physics of Medical Imaging. Bristol: Institute of Physics Publishing (IoP). 1988
Webb A., Introduction to Biomedical Imaging. IEEE press.2003
Sonka M., Fitzpatrick J. M., Handbook of Medical Imaging, vol.2. SPIE Press, 2000
Bronzino, J. D. The Biomedical Engineering Handbook. Boca Raton: CRC Press. 1995
Webb A., Introduction to Biomedical Imaging. IEEE press.2003
Webster, J.: Medical instrumentation: Aplication and Design, ISBN 0471153680, 1997
Carr, J., Brown, M.: Introducion to Biomedical Equipment Technofogy (4th edition), ISBN 0130104922, 2000
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
| Exercises evaluation | Credit | 40 | 21 |
| Examination | Examination | 60 | 30 |