Quantitative MRI of the Spinal Cord

Nonfiction, Health & Well Being, Medical, Medical Science, Diagnostic Imaging, Specialties, Internal Medicine, Neurology
Cover of the book Quantitative MRI of the Spinal Cord by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780123972828
Publisher: Elsevier Science Publication: January 16, 2014
Imprint: Academic Press Language: English
Author:
ISBN: 9780123972828
Publisher: Elsevier Science
Publication: January 16, 2014
Imprint: Academic Press
Language: English

Quantitative MRI of the Spinal Cord is the first book focused on quantitative MRI techniques with specific application to the human spinal cord. This work includes coverage of diffusion-weighted imaging, magnetization transfer imaging, relaxometry, functional MRI, and spectroscopy. Although these methods have been successfully used in the brain for the past 20 years, their application in the spinal cord remains problematic due to important acquisition challenges (such as small cross-sectional size, motion, and susceptibility artifacts). To date, there is no consensus on how to apply these techniques; this book reviews and synthesizes state-of-the-art methods so users can successfully apply them to the spinal cord.

Quantitative MRI of the Spinal Cord introduces the theory behind each quantitative technique, reviews each theory’s applications in the human spinal cord and describes its pros and cons, and suggests a simple protocol for applying each quantitative technique to the spinal cord.

  • Chapters authored by international experts in the field of MRI of the spinal cord
  • Contains “cooking recipes”—examples of imaging parameters for each quantitative technique—designed to aid researchers and clinicians in using them in practice
  • Ideal for clinical settings
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Quantitative MRI of the Spinal Cord is the first book focused on quantitative MRI techniques with specific application to the human spinal cord. This work includes coverage of diffusion-weighted imaging, magnetization transfer imaging, relaxometry, functional MRI, and spectroscopy. Although these methods have been successfully used in the brain for the past 20 years, their application in the spinal cord remains problematic due to important acquisition challenges (such as small cross-sectional size, motion, and susceptibility artifacts). To date, there is no consensus on how to apply these techniques; this book reviews and synthesizes state-of-the-art methods so users can successfully apply them to the spinal cord.

Quantitative MRI of the Spinal Cord introduces the theory behind each quantitative technique, reviews each theory’s applications in the human spinal cord and describes its pros and cons, and suggests a simple protocol for applying each quantitative technique to the spinal cord.

More books from Elsevier Science

Cover of the book Nonclinical Development of Novel Biologics, Biosimilars, Vaccines and Specialty Biologics by
Cover of the book Making a Collection Count by
Cover of the book Maternal Substance Abuse and the Developing Nervous System by
Cover of the book Heavy Oil Production Processes by
Cover of the book The Psychology of Learning and Motivation by
Cover of the book Evolution by
Cover of the book Real World Multicore Embedded Systems by
Cover of the book International Review of Cell and Molecular Biology by
Cover of the book Internet Congestion Control by
Cover of the book The Physiology of Insecta by
Cover of the book Brain Metastases from Primary Tumors, Volume 3 by
Cover of the book Classical and Recent Aspects of Power System Optimization by
Cover of the book Digital Forensics with Open Source Tools by
Cover of the book Solar Energy Engineering by
Cover of the book Japan’s Quest for Nuclear Energy and the Price It Has Paid by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy