MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine

Background: For both hospitals and patients it would be beneficial if the scan time of MR images could be reduced. At the moment, Compressed Sensing (CS) is introduced to reduce the scan time, however, new methods are developed such as a deep learning method, called the Recurrent Inference Machine (RIM). In this study the effect of...

Long-term Effect of MPH on White Matter Tracts of Adults with ADHD: An Application of Consistent Model Selection followed by TBSS

We focused on analysis of long-term medication influenced white matter tracts based on diffusion-weighted MRI brain images of patients with ADHD disorder. We applied a framework of consistent model selection with Tract-based spatial statistics (TBSS) to give proper and consistent modelling of fiber-crossing in white matter. An orientation atlas...

Improving the reproducibility of BOLD rs-fMRI signal by selective data elimination

Connectivity mapping with resting state functional magnetic resonance imaging (rs-fMRI) is rapidly developing and has shown great promise for clinical applications. Before successful implementation in clinical setting, it is key to evaluate the long-term reproducibility of the functional connectivity profiles. To this end, the reproducibility of...

Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients

Stroke is one of the leading causes of both death and disability in the world. Consequently, the processes underlying motor recovery are a hot research topic. Electroencephalography (EEG) and diffusion weighted magnetic resonance imaging (dMRI) are two modalities that can be used to find functional and structural predictors for this motor...

A Planning Tool for Left Ventricular Reconstruction in Patients with Severe Ischemic Cardiomyopathy

Surgical ventricular reconstruction aims to restore the ideal left ventricular geometry and function and is used as a treatment modality for patients with severe ischemic cardiomyopathy. This study addresses the clinical need for in-silico modelling to estimate the effect of left ventricular reconstruction through Revivent Myocardial Anchoring...

Functional Liver Partition of DCE-MRI

The proposed functional liver segments partition method based on DCE-MRI is introduced in this thesis.