Marcel Gutberlet

Medizinische Hochschule Hannover

Papers

2

Total Citations

7

H-Index

2

About

Marcel Gutberlet is a rising force in medical robotics, specializing in the development of MRI-compatible systems for minimally invasive, needle-based interventions. His work directly addresses the critical challenges of performing precise procedures within the high-field environment of an MRI scanner, where traditional metal components and electronics are unusable. His major contributions center on creating sophisticated anthropomorphic phantoms and sensorless haptic feedback systems. His most-cited paper (5 citations) introduces an MRI-compatible abdomen phantom that realistically mimics respiratory-triggered organ movement, providing a vital tool for pre-clinical validation of medical devices and reducing reliance on costly, complex animal studies. His subsequent work (2 citations) advances the field by integrating sensorless haptic feedback into cable-driven robotic systems, allowing surgeons to "feel" tissue resistance during teleoperated needle insertions without compromising MRI compatibility. While early in his career, Gutberlet’s focus on practical, high-fidelity simulation and enhanced sensory feedback positions him as a key innovator dedicated to improving the safety, efficacy, and ethical standards of image-guided surgical robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
MRI-compatible abdomen phantom to mimic respiratory-triggered organ movement while performing needle-based interventions
5 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Medizinische Hochschule Hannover

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago