| Biomedical Signal and Image Processing |
Veranstaltungstyp: Seminar (Lehre) |
Beschreibung: Learning objectives The students • name and describe aims and typical tasks in biomedical signal and image processing. • name the relevant signal and imaging techniques in biomedicine and explain their essential characteristics. • describe essential mathematical and physical contexts – on an appropriate level - which are the basis for the introduced techniques. • explain concepts overarching the fields of signal and image processing, e.g. signal-to-noise ratio, sampling, quantization, system theory. explain the fundamentals of signal and image processing in time, frequency and time-frequency domain. • explain typical use-cases, e.g. signal delineation and image segmentation, and explain encountered challenges explain fundamentals of multiscale signal and image analysis. • apply each of the theoretical fundamentals in practical use cases with established software tools. Content keywords Electrical biosignals in biomedicine and their digital representation; typical processing chain starting with signal acquisition, followed by filtering and feature extraction; sampling theorem, aliasing; Linear-time invariant systems and their properties; Time and frequency domain representations of signals, uncertainty principle on time-frequency transforms: Short-time Fourier Transform, Discrete Wavelet Transform, Continuous Wavelet Transform; Convolution Theorem. Radiological, nuclear-medicine, and optical procedures in medicine; digital image representation, processing chain, resolution and contrast, contrast enhancement, noise reduction, filter techniques; detection of points, lines, edges, and segments, threshold and area-oriented operations, feature extraction. Use of tools such as Python, Numpy, Scipy, Matplotlib. |
Ort: (Seminar room "Bistro", University Medical Center, Robert-Koch-Straße 40): Di. 16:00 - 18:00 (12x)
Dienstag, 16.07.2024 14:15 - 17:45,
(Seminar room "Cockpit", University Medical Center, Robert-Koch-Straße 40): Di. 16:00 - 18:00 (1x),
(HS Med 24, Zugang vom Kreuzbergring): Mi. 08:00 - 10:00 (5x),
(Waldweg 35, Entrance A, Room 130): Mi. 08:00 - 10:00 (5x),
(Seminarraum 01.C.139, Von-Siebold-Straße 3): Mi. 08:00 - 10:00 (1x)
Freitag, 03.05.2024 14:00 - 16:00,
(Klinikum, HS 61): Mi. 08:00 - 10:00 (1x) |
Semester: SoSe 2024 |
Zeiten: Di. 16:00 - 18:00 (wöchentlich),
Mi. 08:00 - 10:00 (wöchentlich),
Termine am Freitag, 03.05.2024 14:00 - 16:00, Dienstag, 16.07.2024 14:15 - 17:45 Erster Termin: Dienstag, 16.04.2024 16:00 - 18:00, Ort: (Seminar room "Bistro", University Medical Center, Robert-Koch-Straße 40) |
Veranstaltungsnummer: M.Inf.1309 |
TeilnehmerInnen: Students in the master study program applied computer science.
Students in the master study program applied data science.
Elective module for students of physics and mathematics.
Students from other faculties/ study programs are kindly asked to contact teaching coordination office: mi-lehre@med.uni-goettingen.de |
Leistungsnachweis: Modulprüfung M.Inf.1303: Imaging and Visualization
Practical exam ("praktische Prüfung") (80%) and presentation of results (ca. 30 min.) (20%) in the seminar.
By means of a practical examination, the students continuously work on programming assignments that form a larger seminar project. The practical examination can be conducted in groups. The regular assignment results have to be submitted, and presented in the seminar. Grading criteria will be presented to the students at the start of the module. Detailed requirements are incorporated in the assignments. |
Bereichseinordnung: Vorlesungsverzeichnis SoSe 2024 |
ECTS-Kreditpunkte:6 |
Weitere Informationen aus Stud.IP zu dieser Veranstaltung |
Heimatinstitut: Institut für Medizinische Informatik In Stud.IP angemeldete Teilnehmer: 21 Anzahl der Postings im Stud.IP-Forum: 25 Anzahl der Dokumente im Stud.IP-Downloadbereich: 16 |
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