Abstract
Compared to static image data where the morphology of anatomical and pathological structures is represented with high spatial resolution, dynamic image data characterizes functional processes, such as metabolism and blood flow. These functional processes are often essential to detect diseases at an early stage or to discriminate pathologies with very similar morphology. Perfusion imaging, where the perfusion of tissue with blood is measured, is an important example of dynamic imaging. We describe perfusion data, which are acquired to support essential diagnostic tasks, e.g., stroke diagnosis, the assessment of different types of tumors and the diagnosis of the coronary heart disease.
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