Automating the visualization of state-of-the-art MRI analyses
The aim of this project is to create a framework for generating automated, contextualized analysis reports per patient.
Automatically labelling the ascending aorta to make more regional analyses
The goal of this project is to develop a method to automatically divide the ascending aorta into more clinically relevant regions.
Development of mathematical anthropomorphic voxel phantoms for the validation of DIRA
The project is suitable for medical physics, biomedical engineering, electrical engineering and computer science and engineering students.
Defining identifiability for improved flexibility of input data in the cardiovascular...
Aim: To perform an identifiability analysis on the parameters of an already designed functional model of the cardiovascular system. CMIV
Automatic segmentation of DECT images
The project is suitable for students with image processing background who want to develop or implement segmentation methods.
Automatic assessment of blood flow in the pulmonary veins using 4D Flow MRI
Develop a method to automatically extract and analyse blood flow curves from the pulmonary veins using 4D Flow MRI data, by exploiting atlas-generated segmentations. CMIV
Implementation of weighted filtered backprojection in DIRA (Dual-energy Iterative...
The project is suitable for biomedical engineering, electrical engineering, and computer science and engineering students.
Extending the cardiovascular functional avatar with enhanced modelling of blood pressure...
Include a blood pressure regulation system in a cardiovascular functional model to assure the validity of the method over a wide range of heart rates and blood pressures. CMIV