This ebook; “Advanced MR Neuroimaging: From Theory to Clinical Practice” is a must have for neurosurgeons; neuroimaging researchers and radiologists; neurologists; and physicists with an interest in advanced MR techniques. Over the last decade; some of the greatest achievements in the field of neuroimaging have been related to remarkable advances in magnetic resonance techniques; including perfusion; diffusion; functional MRI; and magnetic resonance spectroscopy. Such techniques have provided valuable insights into tissue metabolism; microstructure; microvasculature; and brain connectivity.
Previously available mostly in research environments; these techniques are now becoming part of everyday clinical practice in a plethora of clinical MR systems. Nevertheless; despite wider acceptance and growing interest; there remains a lack of a comprehensive body of knowledge on the subject; exploring the intrinsic complexity and physical difficulty of the techniques.
This etextbook focuses on the basic principles and theories of perfusion; diffusion; magnetic resonance spectroscopy; and functional MRI. It also explores their clinical applications and places emphasis on the associated pitfalls and artifacts with a comprehensive and didactic approach.
This etextbook aims to bridge the gap between clinical practice and research applications. It will serve as an educational manual for neuroimaging researchers and radiologists; neurosurgeons; neurologists; and physicists with an interest in advanced MR techniques. It will also be a useful reference text for experienced clinical scientists who wish to optimize their multi-parametric imaging approach.
Table of contents
Table of contents :
Content: Diffusion MR imaging —
Artifacts and pitfalls in diffusion MRI —
Perfusion MR imaging —
Artifacts and pitfalls of perfusion MRI —
Magnetic resonance spectroscopy —
Artifacts and pitfalls of MRS —
Functional magnetic resonance imaging (fMRI) —
Artifacts and pitfalls of fMRI —
The role of multiparametric MR imaging —
advanced MR techniques in the assessment of cerebral tumors.