Torsten Hopp

Torsten Hopp is a Research Associate at the Institute for Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT). His work focuses on advanced medical imaging technologies, particularly 3D ultrasound computer tomography (USCT) and its integration with MRI and X-ray modalities for breast cancer diagnosis.

Research Interests:

• Ultrasound tomography system development
• Image registration algorithms
• Machine learning applications in medical imaging
• Biomechanical and computational modeling
• GPU-accelerated image reconstruction
• Multimodal imaging for clinical workflows

Publication Trends: Torsten Hopp has contributed extensively to the evolution of 3D USCT, with recent work emphasizing deep learning integration, refraction correction, and patient-specific modeling. His research bridges hardware innovation (e.g., PtQube device) with computational methods for clinical translation.

Labs & Teams: Affiliated with KIT's Institute for Data Processing and Electronics, he collaborates on projects like the High Data Rate Processing and Analysis Initiative, advancing ultrasound tomography for breast cancer screening.