UINA356 Computer Science in Medicine

Faculty of Philosophy and Science in Opava
Winter 2017
Extent and Intensity
2/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
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
In this course we deal with using of information systems, communication and visualization technologies, virtual reality and other areas of informatics in medicine. During the course students visit an excursion in hospital for practical show of used technologies.
Syllabus
  • 1. Role of IS in medicine -definition, history, goals, hardware and software
    2. Acquisition systems (modalities) - EKG, CT, US, MRI, PET, SPECT, etc. and brief description
    3. Communication and data standards in medicine - DICOM 3.0 (role, principle, displaying of images), HL7, communication in medicine
    4. DICOM 3.0: definition of objects, SOP classes, net layer, UL protocol, services, formats for archiving, DIMSE
    5. Processing and visualization of biosignals and medical images (EKG, EEG, CT, MR, US)
    6. IS in medicine - IS for hospitals, radiological IS (RIS), systems for archivation and communication, laboratory IS, hospital without paper and films, integration of IS
    7. IHE and its role to workflow, information flow among medical centers, DICOM for IHE, security
    8. Telematics - teleradiology, teleconsultation, used transfer media, protocols, security policies, standards for telemedicine, videostreaming FullHD, law aspects for IS in medicine
    9. Virtual reality systems in medicine and virtual remote navigation for interventions
    10. Systems for assisted analysis of laboratory and image medical data
    11. Implementation of artificial intelligence in medicine (expert systems, sensors, etc.), using ANN
    12. Excursion to a radiological center
Literature
    required literature
  • KASAL, P., SVAČINA, Š. a kol. Lékařská informatika. Praha, 1998. info
  • BEMMEL, J. H. Handbook of Medical Informatics. Berlin, 1997. info
    recommended literature
  • LEHMANN, T. Bildverarbeitung fuer die Medizin. Berlin, 1998. info
  • AYACHE, N. Virtual Reality and Robotics in Medicine. Berlin, 1995. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Exam
Language of instruction
English
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
* 75% attendance in the lecture, exam (maximum 100 points, success rate 51)
* seminar work
The course is also listed under the following terms Winter 2018, Winter 2019, Winter 2020.
  • Enrolment Statistics (Winter 2017, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2017/UINA356