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Lecturer(s)
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Bjorgen Petr, Ing. Mgr. Ph.D.
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Liederhausová Darina, Ing. Ph.D., Ing.Paed.IGIP
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Course content
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Lectures: 1. Imaging processes. Image acquisition principles. HW for image acquisition. 2. Optics basics. Lens and objectives. 3. Image digitalization. Frame grabbers. Camera types analog and digital and their characteristics. 4. Graphics imaging formats - gray scale, binary BW, color. Vector and raster graphics. 5. Image preprocessing. Look up tables, Brightness and contract changing, histogram processing and equalization. 6. Image filters, high and low frequency filters, edges, convolution and gradient filters. Basic segmentation methods. 7. Binary morphology. Object recognition. 8. Correlation function. Pattern matching 9. Imaging systems in medicine. TV imaging. PAL, NTSC standards. 10. Endoscopes, fibro scopes, video scopes. 11. Infrared imaging systems, IR detectors, vasic principles and construction. 12. RTG imaging systems. 13. Conventional game imaging systems. 14. Ultra-sound imaging systems, ultra sound wave reflection and refraction, geometric distortion of ultra sound imaging. Practice: Optics, projection equation, view angle, lens parameters Analog cameras, connection to computer, setting table Digital cameras, connection to computer. Imaq Vision Builder software basics. Scripts creation. Look-up tables, application, histograms, histogram equalization. Image filters. Convolutions filters. Edge detection. Image understanding. Pattern matching - diagnostics. Endoscope. Endoscope images evaluation. Medicine image processing and evaluation.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Demonstration, Laboratory work
- Semestral paper
- 34 hours per semester
- Preparation for credit
- 15 hours per semester
- Preparation for exam
- 45 hours per semester
- Class attendance
- 56 hours per semester
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Learning outcomes
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The subject provides the students basic information about imaging systems in medicine. Students obtain basic information from the optics, imaging sensors and digital cameras, image acquisition, processing and analysis, binary morphology, image filtration in space and frequency domain. Basics of 3 imaging methods - ultrasound, CT and magnetic resonance RT will be lectured.
By graduating this subject, students obtain basic information about diagnostics procedures problematic and evaluation and diagnostic medical instruments connection to computers and also obtain an introduce to the basic diagnostic quantities processing and their implementation in computers.
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Prerequisites
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Basic knowledge of math and computers.
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Assessment methods and criteria
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Oral exam, Written exam
Credit: active participation at practices, submitted exercises elaboration. Exam: written + oral
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Recommended literature
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Hlaváč, V., Sedláček, M.:. Zpracování signálů a obrazů.. Praha, vydavatelství ČVUT, 2005.
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Klíma a kol.:. Zpracování obrazové informace. ČVUT, skripta, 1999.
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Rozman, J. a kol. Elektronické přístroje v lékařství. Academia, Praha, 2006.
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Svatoš, J.:. Zobrazovací systémy v lékařství. ČVUT skripta, 1998.
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Zuna, I., Poušek, L. Úvod do zobrazovacích metod v lékařské diagnostice. ČVUT, skriptum, 2000.
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