Courses
1. Basics of MRI (Click here for more information)
This course introduces the fundamentals of MRI, covering the basic physics and imaging techniques. Students will gain a foundational understanding of how MRI works. Possible topics: magnetization, relaxation, quantum mechanics, signal detection and acquisition, Fourier imaging, image reconstruction, contrast, signal, and noise, water-fat separation, steady state gradient echo imaging, echo planar imaging, hardware issues, fast/parallel imaging.
2. Clinical MR Interpretation (Click here for more information)
This course covers the essentials of interpreting MRI images in clinical settings, with a focus on brain anatomy, the use of brain atlases, and MRI diagnostics for brain diseases. Students will learn to identify key anatomical structures, utilize brain atlases for reference, and recognize MRI patterns associated with various neurological conditions.
3. Biostatistical Methods (Click here for more information)
This course offers a comprehensive overview of key statistical methods used in biomedical research, including multiple comparisons, correlations, and survival analysis. Students will learn to select and apply appropriate statistical tests to analyze data and determine the impact of new methodologies. Key topics include data sampling, measures of central tendency and dispersion, hypothesis testing, regression models, non-parametric tests, and survival analysis techniques.
4. MR Image Processing (Click here for more information)
This course offers a comprehensive overview of MR image processing techniques, focusing on both key concepts and practical applications. It consists of five modules: an introduction, segmentation and registration, radiomics, fMRI data processing, and hands-on practical exercises. Through a combination of lectures and interactive notebooks, students will develop both theoretical knowledge and practical skills for processing and analyzing MR images in research and clinical settings.
5. Quantitative MRI (Click here for more information)
This course introduces the principles and applications of quantitative MRI, focusing on the measurement and analysis of MRI data to extract meaningful biological information. Through lectures and tutorials, students will explore quantitative techniques as well as advanced data processing methods.
6. MR Data Acqusition (Click here for more information)
This course focuses on the principles and techniques of MRI data acquisition, providing students with essential knowledge and hands-on skills. Topics include MRI sequences, such as spin echo and gradient echo, and advanced methods like gammaSTAR. By the end of the course, participants will be equipped to understand and apply key MRI acquisition techniques in practice.
7. Advance Research Methods (Click here for more information)
This course delves into advanced research methodologies used in MRI and biosciences, focusing on the design, execution, and analysis of complex experiments. Students will explore main approaches in experimental design, execution, along with the ethical considerations and ethics committee applications in bioscience research. Critical appraisal of evidence from published literature, qualitative and quantitative research methodologies, structured literature reviewing, ethics, data collection and analysis will be the main topics.
