Enhancement of Information in Medical Image Data: Applications in a Clinical Research Environment

Christof Karmonik, PhD
SEC 204
The last years have seen rapid progress in algorithms development for enhancing information in medical image data. Medical images play an important role in clinical diagnosis, therapy, research and teaching. To transfer the technical advances in this field into clinical practice, translational research efforts within a multidisciplinary team including basic scientists, clinical scientists and physicians are essential. In this talk, selected applications focusing on magnetic resonance imaging and 3D digital subtraction angiography (DSA) are presented that illustrate this concept.