Schmiech, JonteJonteSchmiechSobirey, EveEveSobireyWagner, MaximilianMaximilianWagnerBechstein, MatthiasMatthiasBechsteinFlottmann, FabianFabianFlottmannFiehler, JensJensFiehlerKrause, DieterDieterKrause2026-06-302026-06-302026-04Design of Medical Devices Conference, DMD 2026https://hdl.handle.net/11420/63705Realistic fluoroscopic appearance of body parts and equipment is crucial for physical simulators that aim to train endovascular skills. We present HANNES V3.0, a re-engineered, modular neurointerventional training model designed to enhance X-ray realism while preserving the use of standard clinical instruments. Following a structured design process, the system was partitioned into humanoid, hydraulic, and electrical modules. Within the humanoid module, we minimized visibility of non-anatomical parts by immersing components in a water-based medium to approximate radiodensity, while intentionally emphasizing anatomical landmarks by applying a radiopaque coating to skeletal structures (skull and a simplified thorax). Vessel models manufactured via SLA and supporting elements via FDM were integrated in a rectangular tank; design measures (e.g., open top layers over gyroid infill) avoided trapped air that would artifactually increase contrast. In experiments on a clinical angiography system (Philips Allura Clarity FD20), native fluoroscopy showed deliberately low vessel conspicuity, with clear lumen depiction under iodinated contrast; thoracic bony landmarks remained consistently visible and non-anatomical elements were largely suppressed. In a post-use survey (n=13), participants rated training value at 4.6/5 and X-ray realism at 4.7/5 (Likert scale). These findings support HANNES V3.0 as a realistic, reusable platform for neurointerventional training.enHANNESNeurointerventionalSimulatorTrainingNatural Sciences and Mathematics::570: Life Sciences, BiologyTechnology::610: Medicine, HealthTechnology::620: EngineeringHANNES V3.0 – enhancing fluoroscopic realism in a physical endovascular training modelConference Paper10.1115/DMD2026-1022