ETH ZurichAcronym | ETHZ | Homepage | http://www.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | ETH Zurich | Child organizations | | Members | | Memberships | | Partners | |
Open OpportunitiesUnderstanding knee kinematics is a key requirement for understanding the processes occurring during injury or pathology as well as their remedies. Compared to optical systems, x-ray fluoroscopy directly measures the joint kinematics without soft-tissue artifacts and is thus the method of choice whenever such high performance is required.
To extract the 3D knee kinematics the rendering of each bone (3D geometry acquired independently by e.g. CT) is matched to the x-ray image in a process called 2D-3D pose estimation or 'image registration'. Current manual pose-estimation methods are time-consuming, expensive, and prone to operator bias. For example, a 10-second trial measurement acquired at 30 Hz consists of about 300 images and takes an experienced operator about 1500 minutes to match manually.
Since most studies often consist of thousands of images, an automated way of performing pose estimation to assist or replace manual alignment becomes crucial.
- Biomedical Engineering, Image Processing
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Pulmonary hypertension (PH) in newborns poses significant diagnostic challenges due to its association with various diseases and its impact on morbidity and mortality. Early and accurate detection is essential for effective management, yet current manual echocardiographic assessment is time-consuming and requires expertise. This project aims to develop an automated machine learning method using multimodal variational autoencoders (VAEs) and diffusion models to predict PH in newborns from ultrasound, ECG data, and clinical variables. Leveraging a cohort of 270 newborns from the University Children’s Hospital Regensburg, the project will enhance interpretability and feature representation by assessing the significance of each data type and utilizing synthetic data augmentation. The hybrid approach of combining VAEs with diffusion models is expected to improve prediction accuracy and generalization, advancing early detection and understanding of PH in newborns. - Biomedical Engineering, Computer Communications Networks, Electrical and Electronic Engineering, Image Processing, Signal Processing
- ETH Zurich (ETHZ), Master Thesis
| This Master's thesis focuses on the experimental determination of material properties for Ti6Al4V, essential for the numerical simulation of machining processes. The work involves preparing various samples, conducting flow curve tests, damage behavior analyses, and anisotropy assessments. Additionally, EBSD analysis, hardness measurements, and potentially chemical analyses will be performed. The results will be used to validate machining simulations using SPH/FEM, comparing process forces and chip formation. - Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis
| This Master's thesis focuses on the experimental determination of material properties for stainless steel, essential for the numerical simulation of machining processes. The work involves preparing various samples, conducting flow curve tests, damage behavior analyses, and anisotropy assessments. Additionally, EBSD analysis, hardness measurements, and potentially chemical analyses will be performed. The results will be used to validate machining simulations using SPH/FEM, comparing process forces and chip formation. - Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| The goal of the project is to develop and test a smart sock prototype for plantar pressure measurements. The smart sock contains textile based pressure sensors and a readout module. This technology can be used for plantar pressure monitoring in diverse wearable applications ranging from healthcare to sports. - Biomedical Engineering, Medical and Health Sciences
- Master Thesis
| The goal of the project is to assess the feasibility of using commercially available plantar pressure monitoring devices (so called smart insoles) on the diabetic population. Pressure ulcers are a common complication of the diabetic foot, and monitoring plantar pressure continuously is a potential measure of prevention. Diabetic patients are often prescribed personalized footwear (e.g., curved insoles that accommodate any deformity in the feet). This project aims at assessing the potential of the smart insoles available on the market to monitor plantar pressure in diabetic patients with such custom footwear. - Biomedical Engineering, Medical and Health Sciences
- Bachelor Thesis, Semester Project
| A masonry bridge is a type of bridge constructed using masonry, which includes materials such as stone, brick, or concrete blocks. These bridges rely on the principles of compressive strength, where the weight and loads are transferred through the structure primarily by compressing the masonry materials. Many masonry bridges are designed with arches, which effectively distribute weight and handle compressive forces. Structural health monitoring (SHM) is of great significance in maintaining the safe operation of such infrastructure as its material properties are deteriorating due to effects such as climate change, while the demands of modern transport systems are increasing significantly. - Structural Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| This project focuses on developing a magnetically controlled drug delivery system (microrobot) for cardiovascular interventions. - Biology, Chemistry, Engineering and Technology, Medical and Health Sciences, Physics
- Master Thesis, Semester Project
| This project mainly focuses on the automation of the existing 5D bioprinter, optimizing the software for updated system use, and developing the print head for better complex 3D prints. This printer will be used for bioprinting applications. - Acoustics and Acoustical Devices; Waves, Automotive Engineering, Biomedical Engineering, Computer Hardware, Control Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Printing Technology, Robotics and Mechatronics, Systems Theory and Control
- Bachelor Thesis, Master Thesis, Semester Project
| The Multi-Scale Robotics Lab develops novel actuation methods for endoscopic devices utilizing magnetic navigation systems (MNS). In MNS, an external magnetic field applies forces and torques on magnets attached to the endoscopes. To control these endoscopes, precise shape estimation techniques are required. Current methods try to estimate the endoscope’s shape by measuring the external field along the endoscope using hall-sensors. This method requires precise knowledge about the applied external field and often lacks in localization precision in certain directions.
- Electrical Engineering, Mechanical Engineering
- Master Thesis
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