5 papers
6D Robotic OCT Scanning of Curved Tissue Surfaces
Suresh Guttikonda, Maximilian Neidhardt, Vidas Raudonis +1
Optical coherence tomography (OCT) is a non-invasive volumetric imaging modality with high spatial and temporal resolution. For imaging larger tissue structures, OCT probes need to…
A Digital Twin for Robotic Post Mortem Tissue Sampling using Virtual Reality
Maximilian Neidhardt, Ludwig Bosse, Vidas Raudonis +4
Studying tissue samples obtained during autopsies is the gold standard when diagnosing the cause of death and for understanding disease pathophysiology. Recently, the interest in p…
Deep Learning for High Speed Optical Coherence Elastography with a Fiber Scanning Endoscope
Maximilian Neidhardt, Sarah Latus, Tim Eixmann +2
Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via clinical imaging systems, e.g., ultrasound or magnetic resonance imaging. Typica…
Robust Tracking with Particle Filtering for Fluorescent Cardiac Imaging
Suresh Guttikonda, Maximilian Neidhart, Johanna Sprenger +3
Intraoperative fluorescent cardiac imaging enables quality control following coronary bypass grafting surgery. We can estimate local quantitative indicators, such as cardiac perfus…
A Modified da Vinci Surgical Instrument for OCE based Elasticity Estimation with Deep Learning
Maximilian Neidhardt, Robin Mieling, Sarah Latus +3
Robot-assisted surgery has advantages compared to conventional laparoscopic procedures, e.g., precise movement of the surgical instruments, improved dexterity, and high-resolution…