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Lecturer(s)
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Hradil Zdeněk, prof. RNDr. CSc.
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Řeháček Jaroslav, prof. Mgr. Ph.D.
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Course content
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1 Introduction to tomografic methjods: history, mathematical background, Fourier analysis, overview of experimntal techniques. 2. Principles of tomography: projection of 3D object, path integrals. 3.Inversion: Radon transformation and inverse Radon transformation 4. Methods based on Fourier transformation. Fourier slice theorem, FFT algorithm. 5. Advanced techniques: back projection and filtred back projection. 6. Experimental tomography, post processing. 7. Diskrete tomography. 8. Principles of MaxLik and MaxEnt tomography, applications 9. Similar reconstruction techniques: wavefront reconstruction, optical coherence tomography 10. Tomography in medicine and technical applications.
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Learning activities and teaching methods
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Activating (Simulations, Games, Dramatization)
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Learning outcomes
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Basic principles of tomografic methods and their applications.
Knowledge Define the main ideas and conceptions of the subject, describe the main approaches of the studied topics, recall the theoretical knowledge for solution of model problems.
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Prerequisites
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Knowledge of physics and mathematics on the level of basic course.
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Assessment methods and criteria
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Oral exam
Knowledge within the scope of the course topics (examination)
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Recommended literature
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Brezinski, M. (2006). Optical Coherence Tomography: Principles and applications. Academic Press Amsterdam.
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Lihong, V. W., Hsin-i, W. (2007). Biomedical optics: Principles and applications. Wiley.
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Saleh B. (2011). Introduction to Subsurface Imaging. Cambridge University Press.
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