Bachelor End Projects
We offer BEP projects that are directly linked to the ongoing research of the people in our group, giving you the opportunity to work on state-of-the-art techniques for relevant problems. You can even opt to do your BEP at the UMCU, for a first taste of a research project within a hospital. Each student will have an individual project, but we try to cluster a number of them on a similar topic. In this way students can support each other to some extent. Obviously, you will have a researcher from the group as supervisor.
If you have any questions about doing a BEP on Medical Imaging, you can contact Josien Pluim, j.pluim@tue.nl.
Examples of past BEPs:
- Evaluation of MRI T2 mapping
- How do deep neural networks approach image registration?
- Brain infarct analysis with MRI
- Automatic analysis of brain MRI
- MR Thermometry at 1.5T
- Surgical video understanding
- Cardiac MR: wall-motion tracking
- Training deep learning based MR image processing with real-world images
- Development of a calibrated MRI phantom for MRI electrical properties mapping
- RF coil array design for 14T MRI
- Analyze MRI data to estimate the absorption of pulsatile energy of blood flow in the brain
Master End Projects
Your MSc project can be with us, but it can also be external or in collaboration with an external partner, if you want.The projects below are listed in order of date they were added, from most recent to least recent one. You can ask us about any of the projects in this list, but with older ones there is a risk they are no longer open or the topic has changed. You can find numerous MSc theses of past projects from our group in the TU/e repository.
- Image-based Prediction of Recurrent Stroke in Young Adults with Carotid Webs (at Erasmus MC)
- Cycle-GANs for Magnetic Resonance Spectroscopy: Data Augmentation and Denoising
- Automated Interpretation of Coronary Angiography and Stenosis Localization (with Catharina Hospital)
- Diagnosis and treatment of Aortic valve stenosis (with Catharina Hospital)
- Internships on ophthalmic image analysis (at Thirona Retina, 4-6 months)
- Internship on AI-driven liver therapy planning (at UMC Utrecht)
- Deep learning for image analysis in intracranial aneurysms (with UMC Utrecht)
- Correlation of dMRI and confocal microscopy images of organoids (UMC Utrecht)
- 3D Coronary vessel tree reconstruction from 2D Angiograms (with UMC Utrecht)
- Machine learning for assessment of stroke onset time in non-contrast CT (UMC Maastricht)
- Vasculature and perfusion analysis in digital subtraction angiography using deep learning (in collaboration with Erasmus MC)
- Machine learning for quantification of blush in the lenticulostriate territory of the brain for acute ischemic stroke (in collaboration with Philips and UMC Maastricht)
- AI-based classification of Moyamoya disease (at Charité University Hospital Berlin)
- Bone microarchitecture and strength in osteogenesis imperfecta
- EMMA study: Advances in obstetric and neonatal intensive care (UMC Utrecht)
- Synthesis of LGE cardiac MR for optimal integration of scar and perfusion images (BME, 60 ECT, 10 months full-time)
- Deep learning-based motion compensation of myocardial perfusion MRI (BME, 60 ECT, 10 months full-time)
- Simulation and synthesis of myocardial perfusion MRI (BME, 60 ECT, 10 months full-time)
- Segmentation of papillary muscles and trabeculae in cardiac MRI (BME, 60 ECT, 10 months full-time)
- Image-guidance of a needle positioning robot for safe and accurate lung biopsies (with Mechanical Engineering)
- Multimodal Image Registration of Camera RGB to Histopathological Hematoxylin-Eosin (HE) images (at Netherlands Cancer Institute – Antoni van Leeuwenhoek hospital, both externship and master end project possible)
- Development of extracorporeal radiation detector to non-invasively measure arterial 18F-FDG concentration (MUMC+)
- A deep learning based registration model for 3D multi-aperture ultrasound (with PULS/e group)
- Cervical motion: segmentation of cervical spine vertebrae in cinematographic recordings (with MUMC+, subprojects available for externship)
- CORRECT 2 study: delineation of tumours in the larynx involving MRI and histology (with Dept. Radiotherapy, UMC Utrecht)
- Deep learning for minimally invasive esophagectomy (with UMC Utrecht)
- Measuring interstitial fluid volume using DCE‐MRI in pathological brain conditions
- Predicting post‐stroke epilepsy development from DECT images using Machine Learning techniques
- 3D semi‐supervised encoder‐based neural network anomaly detection in 7T functional MRI to detect epileptogenic regions
- Various projects on image-guided adaptive radiotherapy, cone-beam CT imaging and AI (with Catharina hospital Eindhoven)
- Retrospective motion compensation in diffusion-weighted imaging (DWI) MRI
- Increasing the Throughput of Electron Microscopy with AI-powered Image Analysis (3-month externship, with ThermoFisher)
- 7T MRI of the glymphatic system in Alzheimers disease
- MRI analysis in patients with cerebral small vessel disease
- Bone metastasis detection and segmentation
- Assessment of valvular regurgitation from x-ray imaging using a machine learning approach (with PIE Medical Imaging)
- Evaluation of deep learning-based pseudo-CT generation for attenuation correction in PET-MRI (with UMC Utrecht)
- Various MSc project at Maastro Clinic Maastricht: example 1, example 2
- Various projects at PIE Medical Imaging, Maastricht: Projects PIE Medical
- Various neuro MRI related projects at Maastricht UMC
Externship projects
The externship is a short-term project (14 weeks) to be performed abroad (preferably) or somewhere in the Netherlands that is not TU/e. Only foreign students are allowed to do their externship at TU/e. Some of the projects in the list of master projects above are also available as shorter projects for an externship. Your mentor can help you with suggestions as well. The externship is concluded by a report and a presentation at TU/e. For more information see the frequently asked questions.