In general, inverse problems are concerned with (1) reconstructing signals from observations and/or (2) controlling systems to a desired effect. Inverse problems occur in a variety of domains and applications, ranging from tomographic reconstruction to particle physics to machine learning. The IPA group is dedicated to identifying and solving such inverse problems with a strong focus on radiological applications:
• Tomographic reconstruction for different modalities under non-optimal conditions
• Rigid and non-rigid motion estimation and correction
• Image quality
• Blood flow analysis
• Ionizing radiation dose estimation and optimization