Development of an Information System for Optimizing the Contrast of a Magnetic Resonance Image

Abstract

In the framework of this work, an information system was developed to optimize the contrast of magnetic resonance images. For its implementation, an analysis of the methods was carried out and tomogram visualization algorithms were developed. Various contrast optimization methods have been investigated. A study of new multimodal agents based on magnetic nanoparticles was conducted. The prospects of using these substances as negative contrasting agents in MRI diagnostics were evaluated. Methods have been developed to increase the contrast of magnetic resonance images by optimizing scanning modes.