Magnetic Resonance Imaging (MRI) is a growing technique that has the potential to greatly improve medical diagnosis. The challenge of using MRI in medicine rests in the development of new generations of contrast media using targeted nanoparticles to improve signal detection at the molecular level, as well as in the improvement of image processing algorithms for the increased detection of disease. Advanced Image Processing in Magnetic Resonance Imaging uses a signal processing approach to describe the fundamentals of MRI. The authors cover physical MRI fundamentals, image segmentation and quantitative analysis, modeling and analysis in perfusion images, functional signal analysis, and perspectives.
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