APDMAP43 Medicine Diagnostic Methods and Data Processing

Institute of physics in Opava
summer 2023
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
Ing. Iveta Bryjová (lecturer)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Institute of physics in Opava
Timetable
Wed 12:15–13:50 PU-UF
  • Timetable of Seminar Groups:
APDMAP43/01: Thu 13:55–15:30 PU-UF, I. Bryjová
Prerequisites
( FAKULTA ( FU ) && TYP_STUDIA ( B ))
None
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course acquaints students with modern trends of digitization in medicine, especially image information, acquisition modalities, information systems in medicine and the basics of medical information processing.
1. Knowledge of basic protocols and standards used in medical IS.
2. Specifics of selected medical modalities.
3. Basic processing of medical image data and biosignals.
Learning outcomes
Upon completion of the course, the student will be able to:
describe basic of protocols and standards used in medical IS;
describe the specifics of selected medical modalities;
describe and explain of the basic processing of medical image data and biosignals.
Syllabus
  • 1. Information systems in medicine: definition, history
  • 2. Acquisition systems in medicine
  • 3. Communication and data standards for IS: HL7, DICOM 3.0 - digital display and communication in medicine introduction.
  • 4. Measurement of biosignals (ECG, EEG, EMG)
  • 5. Modality US
  • 6. Modality CT
  • 7. Modality MR
  • 8. Modality SPECT
  • 9. Processing and visualization of biosignals (ECG, EEG).
  • 10. Processing and visualization of images in medicine (image information CT, MR, US, SPECT).
  • 11. IS in medicine: hospital IS, radiological IS, archiving and communication system, laboratory IS.
  • 12. Knowledge systems in medical informatics: learning systems, neural networks, expert systems, expert systems with uncertainty.
Literature
    required literature
  • KASAL, P., SVAČINA, Š. a kol. Lékařská informatika. Praha, 1998.
  • LEHMANN, T. Bildverarbeitung fuer die Medizin. Berlin, 1998.
    recommended literature
  • BEMMEL, J. H. Handbook of Medical Informatics. Berlin, 1997.
  • AYACHE, N. Virtual Reality and Robotics in Medicine. Berlin, 1995.
Teaching methods
Forms of teaching will be as follows:
1. theoretical preparation (lectures);
2. laboratory exercises (processing of medical data).
Assessment methods
Active participation in seminars,demonstrating knowledge of the issue of the study subject on the oral examination.
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is also listed under the following terms summer 2021, summer 2022.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/fu/summer2023/APDMAP43