Joachim Hornegger

About

Joachim Hornegger is a leading figure in medical imaging and computer vision, whose work has significantly advanced the fields of surgical robotics and interventional radiology. His research centers on 3D reconstruction, real-time object tracking, and the application of Time-of-Flight (ToF) sensors for medical and robotic systems. A major contribution is the development of a 3D ToF/RGB endoscope for laparoscopic instrument localization, a breakthrough that enables automatic tool tracking in minimally invasive surgery, reducing operative trauma and recovery time. This work, cited 23 times, addresses a critical limitation of 2D color-based techniques. Hornegger has also pioneered dynamic flat detector CT perfusion imaging for stroke treatment, achieving high-speed acquisition to reduce artefacts—a technique with 18 citations that holds promise for catheter-guided interventions. His earlier work on learning, tracking, and recognition of 3D objects (11 citations) laid foundations for active robot vision, while his robust real-time 3D modeling using solely a ToF sensor (6 citations) demonstrated the potential of standalone depth sensors for static scene reconstruction. Through these innovations, Hornegger has bridged computer vision and clinical practice, earning recognition as a transformative researcher in medical technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Laparoscopic instrument localization using a 3-D Time-of-Flight/RGB endoscope

   23 citations · 2013
2. 2
   Denoising and artefact reduction in dynamic flat detector CT perfusion imaging using high speed acquisition: first experimental and clinical results

   18 citations · 2014
3. 3
   Learning, tracking and recognition of 3D objects

   11 citations · 2002
4. 4
   Robust real-time 3D modeling of static scenes using solely a Time-of-Flight sensor

   6 citations · 2009

Key Collaborators

Contact & Links