Course description

This course will give an overview of medical image visualization, enhancement, processing and analysis as well as their applications in medical imaging. It will start with a brief introduction to basic concepts and mathematics in biomedical image processing. Both low-level image processing (e.g. Image enhancement techniques, segmentation, registration, texture analysis) and high-level analysis (e.g. voxel-based morphometry and tractography) and their application in diagnostic imaging will be extensively discussed. Image analysis algorithms used in PET, SPECT and multi-modality imaging, such as rigid and deformable co-registration, image fusion, and atlas creation will be explained. Implementation of basic algorithms will be demonstrated in Matlab. The protocol of storage and exchange of medical images will also be introduced. In addition to this theoretical background, an overview of useful software tools will be given. In particular, MIPAV as cross-platform open-source software for medical image processing, analysis and visualization will be demonstrated. SPM package will be introduced for data analysis on MRI, fMRI, DTI and PET images. MRtrix will be illustrated for DTI tractography studies.

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