Name: Attila Nagy PhD
Affiliation: University of Szeged, Department of Medical Physics and Informatics
Primary research interest: medical image processing, computer aided planning of surgical interventions, 3D printig of anatomical data, VR
Title of the lecture: Medical image processing in teaching and in clinial practice
Keywords: 3D Slicer, segmentation, registration, DICOM, MR, CT
Summary: In the last decades both the field of medical imaging (imaging devices, modalities, accessibility of those) and the computing power of personal computers have undergone significant improvements. This means that more and more people have access to these technologies and use them, and it does matter what software tools they have access to. We will introduce 3D Slicer, a free, open source medical imaging software as one example of continued and polished efforts to provide image processing, segmentation, registration, and a lot of related tools for scientists and clinicians. The software can be extended in multiple ways, and is an excellent platform for solving medical imaging related problems and prototyping solutions.
We will introduce education-related works, upper airway airflow simulation results, and several clinical data that were used in the medical practice to visualize pathological changes and plan surgical interventions. We will also provide some insights on how anatomical data can be prepared for 3D printing.