MR Imaging and Spectroscopy of Central Nervous System Infection, Softcover reprint of the original 1st ed. 2001

Central nervous system (CNS) infections continue to pose a serious problem in health care even with improved knowledge and treatment. Despite the introduction of newer antimicrobial agents and diagnostic techniques, the morbidity and mortality associated with CNS infections remain high. The morbidity associated with CNS infections may be even more important than the death rate especially in developing countries as neurological sequelae may deprive the survivors of intellect and physical ability, demeaning the quality of life and burdening health resources and social services. MR imaging is an important integral part of the protocol for the management of CNS infections and MR spectroscopy is increasingly being utilized in its management. This work is an attempt to provide a comprehensive review of imaging and spectroscopy of the commonly encountered CNS infections in the clinical practice in developing and developed countries. The first chapter deals with basic physical principles of MR imaging and spectroscopy that will help beginners to understand the technical terms used in subsequent chapters. The remaining 10 chapters deal with clinical, pathological, MR imaging and spectroscopy features and their applications in CNS infections. This will help in giving a comprehensive understanding to readers with a background in clinical, radiological, basic MRI, and neurological sciences. The T2 hypointense lesions are a real diagnostic dilemma especially in developing countries for which an algorithm has been suggested in the concluding chapter.

Magnetic Resonance Imaging and Spectroscopic Techniques.- Pyogenic Infections.- Tuberculosis and Other Non Tuberculous Bacterial Granulomatous Infections.- Viral Infections.- Fungal Infections.- Parasitic Infections.- Aids and Its Related Infections.- Congenital Infections.- Parainfectious and Other Infectious Diseases.- Imaging of Postoperative Infections.- Diagnostic Algorithm for a T2 Hypointense Lesion.