Sommersemester

Medizinische Bildverarbeitung (UE)

Course Details

Lecturer

Georg Langs
Roxane Licandro

LVA-Nr.

183.630

Typ

Übung (UE)

Links

TISS

TUWEL

Curricula:
066 453 Biomedical Engineering
066 507 Information and Communication Engineering
066 645 Data Science
066 932 Visual Computing
066 936 Medical Informatics

The aim of the cours is to provide insights into medial image analysis, especially in practical clinical and industrial applications. Accompanying the lecture Medical Image Processing (183.269), students learn to solve medical imaging tasks in Python, like generation of shape- and appearance models, model-based segmentations of anatomical structures or texture analysis applied to bone structures.

The course includes the implementation of two exercise examples and designing corresponding evaluation experiments for analysis of medical image data. The report has to be submitted documenting both the implementation and the empirical evaluation. During the supervised exercise sessions, the students are supported in the development of the algorithms.

The lab exercise is coordinated in TUWEL.

More details regarding the exercise can be found in TISS.

Content:

    • Implementing Medical Imaging Methods
    • Creating a workflow including image loading, feature extraction, feature embedding learning, prediction, evaluation and visualization of results
    • Deepening topics of the Medical Image Processing lecture
    • Constructing a 3D segmentation model for bone representations using deep learning and comparing it to classic machine learning methods
    • Writing a lab report

Organization:

  • Registration: via TISS.
  • Initial meeting: 5th.May.2025, at the end of the lecture (VO) medical image processing in EI8 Plötzl HS (lecture tube available) from 09:00 – 11:00. In this meeting an introduction to the two problems related to the topics discussed in the lecture Medical Image Processing will be given. You will also have the opportunity to actively ask questions in this session.
  • Materials: slides of the initial meeting are provided via the TUWEL course
  • Group size: 3-4
  • Support: Support Forum in TUWEL and additionally, during the term we will have organised online tutorials with defined time slots, for which you can register as a group to ask questions. A teaching assistant will be present to support and guide you.
  • Online lab sessions: see dates in TUWEL.
  • Submission: Upload in TUWEL.