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...

Magnetic Resonance Imaging motion correction in k-space: Detecting, estimating and correcting the bulk motion artifacts in k-space data

Magnetic Resonance Imaging is a widely used technique to obtain images of the interior of the human body for diagnosis and treatment. MRI machines capture the raw signal in spatial frequency domain i.e. k-space and the image is obtained via Fourier transform. The Cartesian acquisition is one of the most commonly used acquisition patterns in MRI...