2305297 – Medical Image Processing for Guidance and Navigation

The course of Medical Image Processing for guidance and navigation is designed to provide students with the knowledge and skills required to analyze, interpret, and process medical images with the aim of guiding medical procedures and/or navigating within the human body during interventions or therapies. The language of the lecture is English. The course consists of three parts: Medical Imaging technologies for planning and in-room navigation, where the requirements and the set up for the hardware for the OR are illustrated. Medical Image Processing, which introduces the basics of analysing and extracting quantitative information from images. This part exploits the use of Python and Jupyter notebooks. Surgical navigation, dedicated to tracking system and image registration. Among the possible clinical use cases are neurosurgery, thoracic surgery, interventional cardiology orthopaedics. There will be also 3 excursions to companies as part of the program. The course is limited to maximum 30 students where the priority is given to: 1) BE Master students 2) ETIT and MIT Master students with specialization in Biomedical Engineering 3) ETIT, MIT and Computer Science Master Students who have attended some courses in medical imaging 4) Master students of other disciplines with strong interest in medical images The following expertise/skills are recommended: - Basic knowledge in the field of medical imaging; - Knowledge of basic programming concept; - Familiarity with Linux environment; - Basic knowledge of linear algebra (transformations); - Attitude towards teamwork and code management in Git; It is also preferable to have access to a personal computer or desktop. The course will take place every Wednesday from 11.30 to 13.00 and and Thursday from 9.45 to 13.00 To enroll to the course please write an email to mf.spadea@kit.edu motivating your choice.

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Deutsch

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8. Okt 2026, 20:28 - 31. Mär 2027, 20:28
Aufnahmeverfahren
Sie müssen einen Aufnahmeantrag stellen, um in den Kurs aufgenommen zu werden. Beschreiben Sie im Feld Nachricht, warum Sie beitreten möchten. Sobald Ihr Antrag angenommen oder abgelehnt wurde, erhalten Sie eine Benachrichtigung.
Zeitraum für Beitritte
Bis: 9. Nov 2026, 00:00
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0

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4006352