Introduction Signal intensity uniformity in a magnetic resonance (MR) image indicates how well the MR imaging (MRI) system represents an object. One of the major sources of image non-uniformity in high-field MRI scanners is inhomogeneity of radio-frequency coil. The aim of this study was to investigate non-uniformity in head, head and neck, and body coils and compare the obtained results to det...

As multi-dimensional complex data become more common, new regularization schemes tailored to those data are needed. In this paper we present a scheme for regularising diffusion tensor magnetic resonance (DT-MR) data, and more generally multi-dimensional data defined by a direction map and one or several magnitude maps. The scheme is divided in two steps. First, a variational method is proposed ...

PURPOSE In a case with moyamoya disease, we found the magnetic resonance image and magnetic angiographic studies were helpful for the definite diagnosis of the disease. CASE REPORT A young adult presented limb-shaking transient ischemic attacks caused by moyamoya disease. The magnetic resonance angiography proved the steno-occlusive lesions in the major arteries of circle of Willis, and the m...

OBJECTIVE Magnetic resonance imaging is a routine investigation in cases of asymmetric sensorineural hearing loss, but it is not routinely used to investigate bilateral sensorineural hearing loss. METHOD This case report illustrates the benefits of magnetic resonance image scanning in the latter patient group. RESULTS A 53-year-old man with rapidly progressive, symmetrical, bilateral, senso...

The image denoising and segmentation is a fundamental task in many medical applications based on magnetic resonance image processing. This problem can be solved by means of nonlinear diffusive filters requiring the solution of evolutive partial differential equations. In this work a coupled system of linear and nonlinear diffusion-reaction equations is proposed and tested for denoising and segm...

....................................................................................................................... iv INTRODUCTION ................................................................................................................ 1 CHAPTER 1 MAGNETIC RESONANCE INHOMOGENEITY CORRECTION................ 3 1.1 Magnetic Resonance Image Acquisition Process ............................