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The Medical Imaging

General data

Course ID: 1100-3BF13
Erasmus code / ISCED: 11.953 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0619) Information and Communication Technologies (ICTs), not elsewhere classified The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: The Medical Imaging
Name in Polish: Obrazowanie medyczne
Organizational unit: Faculty of Physics
Course groups: APBM - Medical Physics; 3rd year courses
APBM - Neuroinformatics; 3rd year courses
Course homepage: https://brain.fuw.edu.pl/edu/Obrazowanie:Obrazowanie_Medyczne
ECTS credit allocation (and other scores): 5.00 OR 6.00 (depends on study program) Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Type of course:

obligatory courses

Prerequisites (description):

The student, who is going to attend the lecture should have complete the following courses:

1. Fizyka I (Physics I).

2. Fizyka II (Physics II).

3. Fizyka III (Physics III).

4. Any lecture, which main topic is The Nuclear Physics.

5. Any lecture, which main topic is The Quantum Mechanic.


Short description:

The aim of this lecture is to provide the students with basics of mathematical and physical knowledge about imaging methods, which are currently used in Medicine and Biomedical Science. The course is addressed mainly to the student of the III year of the Physics, who are specialized In Neuroinformatics or Medical Physic, and to all other students, who are interested in mathematics, physics and medicine.

Full description:

The students get know, about physical phenomena which are applied in modern process of formation biomedical images and will study the mathematical fundamentals of the imaging reconstruction. Besides of the theoretical knowledge, the students will learn about practical implementation of the modern biomedical equipment involved in biomedical imaging and side effects caused by it.

Program of the lecture.

1. Brief revision of the physics of the radiation and quantum mechanics (alpha, beta and gamma radiation, X-rays generation: Photoelectric effect, Compton scattering, Rayleigh scattering, Thompson scattering, pair creation and annihilation. Radiation detectors).

2. The aim of the biomedical imaging. The difference between classical planar imaging and tomography.

3. Classical X-Rays diagnostics and Scintigraphy.

4. Basic mathematical foundations of computed tomography. Brief revision of Fourier Transform and convolution theorem. Randon Transform. The properties of radon Transform. The application of the Radon Transform in computer graphics and imaging reconstruction. The methods and algorithm of imaging reconstruction.

5. X-rays computer tomography (CT).

6. Single Photon Emission Tomography (SPECT) and Positron Emission Tomography (PET)

7. Magnetic Resonance Imaging (MRI).

8. Ultrasonography

9. Medical imaging techniques exploiting laser light.

Bibliography:

1. L. Chmielewski, J. L. Kulikowski, A. Nowakowski, Obrazowanie biomedyczne, Tom 8, Akademicka Oficyna Wydawnicza Exit. Jest to ósma pozycja wchodząca w skład 9-tomowej monografii Biocybernetyka i Inżynieria Biomedyczna 2000 pod redakcją Macieja Nałecza.

2. Praca zbiorowa pod redakcją Andrzeja Z. Hrynkiewicza i Eugeniusza Rokity, Fizyczne metody diagnostyki medycznej i terapii. Wydawnictwo Naukowe PWN

Learning outcomes:

Having completed the cource, student:

THE KNOWLADGE

1. Knows the physical phenomena applied in modern biomedical imaging.

2. Knows the principles of the mathematical methods, used in forming of biomedical imaging.

3. Knows the basic construction and parameters of such medical equipments like CT-scanner, MRI-scanner, PET-scanner, SPECT and Ultrasonograph.

THE ABILITIES

1. Can describe the side-effect of the application of the related to the application of the biomedical imaging.

THE PRINCIPLES

1. Considers the significance of the physics in the modern biomedical imaging.

Assessment methods and assessment criteria:

The final examination is an oral examination. People who attended the classes are allowed to take the oral exam.

Attendance is mandatory, three unexcused absences are allowed. It is possible to make up for an absence by submitting a completed homework assignment agreed with the lecturer within a week.

Two colloquia are held during the semester. People who passed both tests and regularly attended the lecture may be exempted from the exam.

Practical placement:

none

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Lecture, 60 hours, 40 places more information
Coordinators: Józef Ginter
Group instructors: Józef Ginter
Students list: (inaccessible to you)
Examination: Course - Examination
Lecture - Examination

Classes in period "Winter semester 2024/25" (future)

Time span: 2024-10-01 - 2025-01-26
Selected timetable range:
Navigate to timetable
Type of class:
Lecture, 60 hours, 40 places more information
Coordinators: Józef Ginter
Group instructors: Józef Ginter
Students list: (inaccessible to you)
Examination: Course - Examination
Lecture - Examination
Course descriptions are protected by copyright.
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