Image Reconstruction for Multicoil Low-field MRI: Reconstructing MR images based on incomplete multicoil data and object support information

Magnetic Resonance Imaging (MRI) is a non-invasive, non-ionizing imaging modality that is commonly used in the clinic today. However, it is an expensive technique. The high purchase, operational and maintenance costs, as well as the need for trained staff with technical expertise, put this technique out of reach for a large part of the world...

Prediction of Invasive Cervical Spine Surgery Success by a Convolutional Neural Network Algorithm: A Novel Application of Machine Learning in Computer Aided Decision-Making in the Field of Neurosurgery

The aim of this research is to build a machine learning model in order to predict the success of invasive surgical treatment on a degenerated cervical spine, based on the baseline X-ray images. The purpose of the results of this research is an application in computer-aided diagnostics and treatment planning in the field of neurosurgery. Spinal...

Low-field MR Imaging Using a Nonuniform Fast Fourier Transform

Low-field Magnetic Resonance Imaging (LF MRI) is a cheap and safe technique to visualise the internal structure of the human body. Unlike other imaging techniques, Magnetic Resonance Imaging does not use ionising radiation to generate the images. Instead, it uses magnetic fields and radio waves which are nonthreatening to the health. The LF MRI...